Pith. sign in

Paper Citation Record · LEDGER

Tracking Large-scale Shared Bikes with Inertial Motion Learning in GNSS Blocked Environments

As of 14 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 0 inbound Pith citation observations for arXiv:2605.07412.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2605.07412 v2

Coverage vector

measured 47 of 47 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-30T23:23:18.859264Z

measured 47 of 47 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

47 of 47 outbound references displayed

  • verified exact2
  • verified fuzzy43
  • unresolved1
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d9d01946-9bd3-4858-8e52-f706448cca1d · outbound

This paper cites A new approach to linear filtering and prediction problems.

Tracking Large-scale Shared Bikes with Inertial Motion Learning in GNSS Blocked Environments A new approach to linear filtering and prediction problems

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T11:13:41.957179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T23:23:18.859264Z digest=sha256:b5d9f8758b999192c424035f6503f13736f55ff5ab5833dd8ed7bf09ecb17ee2

Observation cc176bec-e9d3-4224-a892-96cb488a4cd1 · outbound

This paper cites Gltc: A metro passenger identification method across afc data and sparse wifi data.

Tracking Large-scale Shared Bikes with Inertial Motion Learning in GNSS Blocked Environments Gltc: A metro passenger identification method across afc data and sparse wifi data

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T11:13:41.959042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T23:23:18.859264Z digest=sha256:705ab7229d89dcbde58068599e77bd6bd5af72cb7175214cf0f2458d46afc528

Observation c173be5a-7e4d-4e0f-8b7d-8d2d7ec0b4e9 · outbound

This paper cites Accurate indoor localization for bluetooth low energy backscatter.

Tracking Large-scale Shared Bikes with Inertial Motion Learning in GNSS Blocked Environments Accurate indoor localization for bluetooth low energy backscatter

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T11:13:41.960965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T23:23:18.859264Z digest=sha256:a724aaf564266efaf1dced1896fe1c83abf096113429c8d9b240da08be791209

Observation 3fd153e7-6940-4ba3-a1e2-456e6a091831 · outbound

This paper cites Tightly coupled integration of gnss/uwb/vio for reliable and seamless positioning.

Tracking Large-scale Shared Bikes with Inertial Motion Learning in GNSS Blocked Environments Tightly coupled integration of gnss/uwb/vio for reliable and seamless positioning

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T11:13:41.971221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T23:23:18.859264Z digest=sha256:be7a64daea4509f5264a791b406ecc7b5ee2b2f61a9a8282605bfed9512ce126

Observation ca405428-fae9-473e-bf59-c635be8c030b · outbound

This paper cites Ionet: Learning to cure the curse of drift in inertial odometry.

Tracking Large-scale Shared Bikes with Inertial Motion Learning in GNSS Blocked Environments Ionet: Learning to cure the curse of drift in inertial odometry

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T11:13:41.954866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T23:23:18.859264Z digest=sha256:adc96aea98403347d63a9e4491bc94d7e31fad8c782666f6d3bfb680bc6ffe25

Observation 57fad015-56d8-43f1-90ff-975d53e55d7d · outbound

This paper cites Ronin: Robust neural inertial navigation in the wild: Benchmark, evaluations, & new methods.

Tracking Large-scale Shared Bikes with Inertial Motion Learning in GNSS Blocked Environments Ronin: Robust neural inertial navigation in the wild: Benchmark, evaluations, & new methods

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T11:13:41.942472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T23:23:18.859264Z digest=sha256:6f5a7f7d04de98f7e916a323c64b297ab4b79fa4f7b7b2644a454ec02a8e8b55

Observation 75ef9d36-7fde-4190-acd2-6f91a1daeb18 · outbound

This paper cites Llio: Lightweight learned inertial odometer.

Tracking Large-scale Shared Bikes with Inertial Motion Learning in GNSS Blocked Environments Llio: Lightweight learned inertial odometer

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T11:13:41.892778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T23:23:18.859264Z digest=sha256:bdd22d971ebaca86ee049bf021ebdf0eea4d6ee93ee5eb664e28c876fcf71c69

Observation 7fda9ff4-8277-4d78-85f5-3be8674e44bd · outbound

This paper cites Pedestrian inertial positioning method based on foot quasi-zero velocity observation under multiple motion modes.

Tracking Large-scale Shared Bikes with Inertial Motion Learning in GNSS Blocked Environments Pedestrian inertial positioning method based on foot quasi-zero velocity observation under multiple motion modes

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T11:13:41.911830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T23:23:18.859264Z digest=sha256:aa96234030356eaf0d9513b7666c439cf46bc02211e13cfe5dcb62cb325d4e9a

Observation 7b1e411b-300e-49be-aa4f-668274eb1a82 · outbound

This paper cites Integrated inertial- lidar-based map matching localization for varying environments.

Tracking Large-scale Shared Bikes with Inertial Motion Learning in GNSS Blocked Environments Integrated inertial- lidar-based map matching localization for varying environments

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T11:13:41.913614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T23:23:18.859264Z digest=sha256:ce205c5023d2797293a6fb6fec661d9d3cc048af02e3bc7463d6f832ee46de66

Observation cdac6d22-29d5-4003-9f90-0b5bbe267482 · outbound

This paper cites Changes in muscle coordination and power output during sprint cycling.

Tracking Large-scale Shared Bikes with Inertial Motion Learning in GNSS Blocked Environments Changes in muscle coordination and power output during sprint cycling

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T11:13:41.915620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T23:23:18.859264Z digest=sha256:ef50af1dd14515633e11a842c4c809cbe27a1429096063e0f638c15445ec36c8

Observation 11648475-b307-4a57-bd76-8879343614ac · outbound

This paper cites Deep learning for inertial positioning: A survey.

Tracking Large-scale Shared Bikes with Inertial Motion Learning in GNSS Blocked Environments Deep learning for inertial positioning: A survey

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T11:13:41.919056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T23:23:18.859264Z digest=sha256:66b8e48afb9b6809940fb5dc9ac63c55857cc519f5b937f83aabae76af694e1c

Observation b060467b-e617-4279-a8a2-7be2ef856772 · outbound

This paper cites Improving inertial sensor by reducing errors using deep learning methodology.

Tracking Large-scale Shared Bikes with Inertial Motion Learning in GNSS Blocked Environments Improving inertial sensor by reducing errors using deep learning methodology

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T11:13:41.924450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T23:23:18.859264Z digest=sha256:f2ec40ec1f9a1d2d7533939eb1ad1b4ec977bc4926d9609e27bdec903397e66b

Observation c9dfd5b6-9f7c-42d1-9b6c-a316dba726f6 · outbound

This paper cites Calib-net: Calibrating the low-cost imu via deep convolutional neural network.

Tracking Large-scale Shared Bikes with Inertial Motion Learning in GNSS Blocked Environments Calib-net: Calibrating the low-cost imu via deep convolutional neural network

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T11:13:41.897977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T23:23:18.859264Z digest=sha256:d62558be606b66f406e10f51b8677241c7289e94a4f66b018582972677e0967a

Observation 4a091dc1-0b82-46a8-87d7-64d4ab94c241 · outbound

This paper cites Learning to calibrate: Reinforcement learning for guided calibration of visual–inertial rigs.

Tracking Large-scale Shared Bikes with Inertial Motion Learning in GNSS Blocked Environments Learning to calibrate: Reinforcement learning for guided calibration of visual–inertial rigs

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T11:13:41.900283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T23:23:18.859264Z digest=sha256:cad4030971ce676165fb56df8481d134fcf789f9e633e56dd9f4ed98452ab71a

Observation 616c3bfc-4f50-4e7a-9a11-eefc9b1402e9 · outbound

This paper cites Denoising imu gyroscopes with deep learning for open-loop attitude estimation.

Tracking Large-scale Shared Bikes with Inertial Motion Learning in GNSS Blocked Environments Denoising imu gyroscopes with deep learning for open-loop attitude estimation

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T11:13:41.904786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T23:23:18.859264Z digest=sha256:e9556a6bd50c6db61f7395d54380829eee5830f800b85931676b9291c0d0e0d5

Observation 979db139-5b2a-44c9-8c2b-374a5782cefe · outbound

This paper cites A mems imu gyroscope calibration method based on deep learning.

Tracking Large-scale Shared Bikes with Inertial Motion Learning in GNSS Blocked Environments A mems imu gyroscope calibration method based on deep learning

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T11:13:41.906734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T23:23:18.859264Z digest=sha256:b88e22eca0621577fc9b0cce96d142f7abcdb1435dcb18e2d0a2a9080a9d001f

Observation 1420b285-c6d4-4521-bd27-37fdac61d859 · outbound

This paper cites AirIMU: Learning Uncertainty Propagation for Inertial Odometry.

Tracking Large-scale Shared Bikes with Inertial Motion Learning in GNSS Blocked Environments AirIMU: Learning Uncertainty Propagation for Inertial Odometry

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-06-30T23:25:07.469070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T23:23:18.859264Z digest=sha256:e4551a89023529eb4021031d61410938e462cdd252534d63a54170f5b82aca8f

Observation 0446b517-c95c-41ef-815b-7e303b2747c1 · outbound

This paper cites Ridi: Robust imu double integra- tion.

Tracking Large-scale Shared Bikes with Inertial Motion Learning in GNSS Blocked Environments Ridi: Robust imu double integra- tion

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T11:13:41.896160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T23:23:18.859264Z digest=sha256:84ebde80032b02bf75b256dd45978b3883ad3e70faa6d7085a3adfd0061580f2

Observation 441c54c0-d47b-435b-80e4-ada33588ec49 · outbound

This paper cites Deep learning based speed esti- mation for constraining strapdown inertial navigation on smartphones.

Tracking Large-scale Shared Bikes with Inertial Motion Learning in GNSS Blocked Environments Deep learning based speed esti- mation for constraining strapdown inertial navigation on smartphones

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T11:13:41.902464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T23:23:18.859264Z digest=sha256:997bb047a72b849459693fa201ee88b50bbf7b553e3b6073cdbbc6127032fec4

Observation 2bad7fcb-87ea-4021-a02f-e4991b10177e · outbound

This paper cites Deepvip: Deep learning-based vehicle indoor positioning using smartphones.

Tracking Large-scale Shared Bikes with Inertial Motion Learning in GNSS Blocked Environments Deepvip: Deep learning-based vehicle indoor positioning using smartphones

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T11:13:41.928847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T23:23:18.859264Z digest=sha256:7cf54e1d119335beb08b8c3259f8d4413a079caf1a54cb325e158197da47b10b

Observation 9c463837-211c-438b-a12d-267db9578a00 · outbound

This paper cites Neural inertial localization.

Tracking Large-scale Shared Bikes with Inertial Motion Learning in GNSS Blocked Environments Neural inertial localization

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T11:13:41.935283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T23:23:18.859264Z digest=sha256:8defedc3f279b6ea4493cf9ea2d06c5ff039fdbdf010ce35c1d4bd728a98cc26

Observation b94d1076-9c67-4c45-b71b-c0e82c73ba19 · outbound

This paper cites Idol: Inertial deep orientation- estimation and localization.

Tracking Large-scale Shared Bikes with Inertial Motion Learning in GNSS Blocked Environments Idol: Inertial deep orientation- estimation and localization

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T11:13:41.962873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T23:23:18.859264Z digest=sha256:e58fe311c5fc83d6c1eb706876fc82411edf0604faf0170766d05d0a7719ca59

Observation f29c2cd7-aa28-4e40-815b-acf0dc448c92 · outbound

This paper cites Ctin: Robust contextual transformer network for inertial navigation.

Tracking Large-scale Shared Bikes with Inertial Motion Learning in GNSS Blocked Environments Ctin: Robust contextual transformer network for inertial navigation

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T11:13:41.965892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T23:23:18.859264Z digest=sha256:3a940b5752b128edb346a69e64c00c4cfbd23041de6bec267aaacb8bf5e985cf

Observation 91c95e51-448d-46fe-83e0-1af3292350c2 · outbound

This paper cites EqNIO: Subequivariant neural inertial odometry.

Tracking Large-scale Shared Bikes with Inertial Motion Learning in GNSS Blocked Environments EqNIO: Subequivariant neural inertial odometry

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T11:13:41.944198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T23:23:18.859264Z digest=sha256:888431f0f2164645a545589b595435be0b949125e3ede14aa4d93fefd6f596e7

Observation 8e9a8ddf-12d4-4bef-8578-09a43335d1d1 · outbound

This paper cites Tartan imu: A light foundation model for inertial positioning in robotics.

Tracking Large-scale Shared Bikes with Inertial Motion Learning in GNSS Blocked Environments Tartan imu: A light foundation model for inertial positioning in robotics

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T11:13:41.945982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T23:23:18.859264Z digest=sha256:b31006a74b68fb93f6fbedf06208d8aee8f58019d551b4b39caa98107584e39c

Observation b3ce4065-b074-4485-8dab-f62c1f6b0ae9 · outbound

This paper cites Tlio: Tight learned inertial odometry.

Tracking Large-scale Shared Bikes with Inertial Motion Learning in GNSS Blocked Environments Tlio: Tight learned inertial odometry

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T11:13:41.947887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T23:23:18.859264Z digest=sha256:824fcebb70edd3ec579b62e9d946df1d0169122bd7c6e646371ce0ebb0d5490b

Observation 64b5d064-b487-4967-89aa-688610b224f6 · outbound

This paper cites Imunet: Efficient regression architecture for inertial imu navigation and positioning.

Tracking Large-scale Shared Bikes with Inertial Motion Learning in GNSS Blocked Environments Imunet: Efficient regression architecture for inertial imu navigation and positioning

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T11:13:41.949736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T23:23:18.859264Z digest=sha256:7b91667e78ca5bc5f94c1219e28afff952ffc29245dd500319b8c94f54a9fdd2

Observation 013a3206-ac24-4327-9c9f-ab07e79ff29d · outbound

This paper cites Airio: Learning inertial odometry with enhanced imu feature observability.

Tracking Large-scale Shared Bikes with Inertial Motion Learning in GNSS Blocked Environments Airio: Learning inertial odometry with enhanced imu feature observability

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T11:13:41.953175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T23:23:18.859264Z digest=sha256:faa443e64ff3c6039abe072fd92a0bf4086852e6d0e43af0d43850f744051ef0

Observation dff9d9d7-dee8-49db-ae94-afd03146a1be · outbound

This paper cites Learned inertial odometry for autonomous drone racing.

Tracking Large-scale Shared Bikes with Inertial Motion Learning in GNSS Blocked Environments Learned inertial odometry for autonomous drone racing

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T11:13:41.940737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T23:23:18.859264Z digest=sha256:ba6dde14e05a38a8b1bd7f6b12fa4034afa5873f103902e0b321cce5fac6c150

Observation 45f957bf-fd19-4d87-b783-130fe8003564 · outbound

This paper cites Indoor drone localization and tracking based on acoustic inertial measurement.

Tracking Large-scale Shared Bikes with Inertial Motion Learning in GNSS Blocked Environments Indoor drone localization and tracking based on acoustic inertial measurement

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T11:13:41.951440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T23:23:18.859264Z digest=sha256:53c1019210008b45199324baafe3aa772c276e92acd219bf53ecf8a21474ddfd

Observation c54c1612-2927-403c-8257-bf766e418b17 · outbound

This paper cites Heteroge- neous multi-task learning for multiple pseudo-measurement estimation to bridge gps outages.

Tracking Large-scale Shared Bikes with Inertial Motion Learning in GNSS Blocked Environments Heteroge- neous multi-task learning for multiple pseudo-measurement estimation to bridge gps outages

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T11:13:41.967750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T23:23:18.859264Z digest=sha256:c2494cf5ba7678c1825a029992549c34acca7540e6f6568703af8b46b76e6e6b

Observation fa996395-6e22-4f74-91db-94b48534a92c · outbound

This paper cites Metroloc: Metro vehicle mapping and localization with lidar-camera-inertial integration.

Tracking Large-scale Shared Bikes with Inertial Motion Learning in GNSS Blocked Environments Metroloc: Metro vehicle mapping and localization with lidar-camera-inertial integration

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T11:13:41.937064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T23:23:18.859264Z digest=sha256:e4d64b13893d21d3551778c125d45cdc8982a70ed7eeb20aa773037d76e96f36

Observation 26b26194-7d86-4b46-910a-4e9355ce436c · outbound

This paper cites Rvio: An effective localiza- tion algorithm for range-aided visual-inertial odometry system.

Tracking Large-scale Shared Bikes with Inertial Motion Learning in GNSS Blocked Environments Rvio: An effective localiza- tion algorithm for range-aided visual-inertial odometry system

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T11:13:41.933325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T23:23:18.859264Z digest=sha256:2539a185fad5d2dce57c8cb31ed0d994913d3ab87ca4c6f16a6f14d95252e757

Observation 7ff1913e-74d1-4351-a98a-e3f88fd894dc · outbound

This paper cites Visual- inertial-acoustic sensor fusion for accurate autonomous localization of underwater vehicles.

Tracking Large-scale Shared Bikes with Inertial Motion Learning in GNSS Blocked Environments Visual- inertial-acoustic sensor fusion for accurate autonomous localization of underwater vehicles

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T11:13:41.917371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T23:23:18.859264Z digest=sha256:948ba64662fcf07f6e54fce6bfb3dc5676ffc9e44592f57cd7925acf4a912dea

Observation 9628bb5c-ee68-4a5d-b01b-2f5b6723a3ea · outbound

This paper cites Toward persistent spatial awareness: A review of pedestrian dead reckoning-centric indoor positioning with smartphones.

Tracking Large-scale Shared Bikes with Inertial Motion Learning in GNSS Blocked Environments Toward persistent spatial awareness: A review of pedestrian dead reckoning-centric indoor positioning with smartphones

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T11:13:41.920870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T23:23:18.859264Z digest=sha256:3373d7053c8c5da6198d5425f6b4bb27927d0dae8acbd67e939d7a2af170b96a

Observation 1db6471b-60db-4603-a9eb-8d8b4eed9dfa · outbound

This paper cites Step length is a more reliable measurement than walking speed for pedestrian dead-reckoning*.

Tracking Large-scale Shared Bikes with Inertial Motion Learning in GNSS Blocked Environments Step length is a more reliable measurement than walking speed for pedestrian dead-reckoning*

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T11:13:41.926307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T23:23:18.859264Z digest=sha256:f2e1677d034b6a6b154328ea3426c3864da04b36318130c439e37096b5822a0b

Observation 522a0b54-cf75-486c-8632-a5cdb9b269fe · outbound

This paper cites Threshold-free phase segmentation and zero velocity detection for gait analysis using foot-mounted inertial sensors.

Tracking Large-scale Shared Bikes with Inertial Motion Learning in GNSS Blocked Environments Threshold-free phase segmentation and zero velocity detection for gait analysis using foot-mounted inertial sensors

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T11:13:41.909966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T23:23:18.859264Z digest=sha256:79ce92d438de30d39eb81cf4e83e25e982e42852f061cead8af0fc0024063070

Observation e4dcb5a4-19bf-4bff-9bc6-457a167d375a · outbound

This paper cites An adaptive robust ekf based on mahalanobis distance and non-holonomic constraints for enhancing vehicle position- ing accuracy.

Tracking Large-scale Shared Bikes with Inertial Motion Learning in GNSS Blocked Environments An adaptive robust ekf based on mahalanobis distance and non-holonomic constraints for enhancing vehicle position- ing accuracy

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T11:13:41.922644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T23:23:18.859264Z digest=sha256:90fa28ab8fd504e5e2e1e6ae3b504b23e908d30af3b56f743b308df0563727fe

Observation 69490dde-8d54-40b4-a9b7-0021a8d2d721 · outbound

This paper cites Deep neural network based inertial odometry using low-cost inertial measurement units.

Tracking Large-scale Shared Bikes with Inertial Motion Learning in GNSS Blocked Environments Deep neural network based inertial odometry using low-cost inertial measurement units

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T11:13:41.939041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T23:23:18.859264Z digest=sha256:0c05e3b120f1ac7dc31a9fe07877c387bb1b9accd84cd6d683277fb724ba9644

Observation afe00122-bde8-4d87-bcb0-6e47d935df54 · outbound

This paper cites Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining , series =.

Tracking Large-scale Shared Bikes with Inertial Motion Learning in GNSS Blocked Environments Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining , series =

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-06-30T23:25:06.603623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T23:23:18.859264Z digest=sha256:64ef358612ac25a0b885d24eea32c81956afc52dedba68095a71d21215bb29eb

Observation ad3ac0f8-a045-4c63-a842-e767104aab0b · outbound

This paper cites What uncertainties do we need in bayesian deep learning for computer vision?.

Tracking Large-scale Shared Bikes with Inertial Motion Learning in GNSS Blocked Environments What uncertainties do we need in bayesian deep learning for computer vision?

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T11:13:41.969512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T23:23:18.859264Z digest=sha256:51e500dd39d07a44beab99afe35e5da634e4da9f2f170b776a194d8cf517fed5

Observation 522b9646-373d-4923-a99a-7172c2ee33fe · outbound

This paper cites On the theory of filter amplifiers.

Tracking Large-scale Shared Bikes with Inertial Motion Learning in GNSS Blocked Environments On the theory of filter amplifiers

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T11:13:41.891007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T23:23:18.859264Z digest=sha256:94f1ff913934c24feed4b1dfb728e8fc6935dc4916f4078d103144d02d7156dc

Observation a3faefdc-c46c-4992-8b3c-86fa43b027bf · outbound

This paper cites Automatic step detection in the accelerometer signal.

Tracking Large-scale Shared Bikes with Inertial Motion Learning in GNSS Blocked Environments Automatic step detection in the accelerometer signal

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T11:13:41.889288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T23:23:18.859264Z digest=sha256:1bf94172dce7322bac356ea9b157f9c63620335bada832c431bce22abe5f6b70

Observation d8e09a51-33dd-4897-b68b-1adfd5e98a77 · outbound

This paper cites an unresolved cited work.

Tracking Large-scale Shared Bikes with Inertial Motion Learning in GNSS Blocked Environments Unresolved cited work

Reference 44

Resolution
unresolved
raw_fallback, observed 2026-07-07T11:13:41.894429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T23:23:18.859264Z digest=sha256:436b8a40430467b0b6e2c65ac04e03d7d12ddae9aaa265acb2cb1e47b9d6a54c

Observation b4a26c70-400c-4051-b4f8-2b551a8b0b0e · outbound

This paper cites Gupta, and Dezhi Hong.

Tracking Large-scale Shared Bikes with Inertial Motion Learning in GNSS Blocked Environments Gupta, and Dezhi Hong

Reference 45

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T23:25:06.606580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T23:23:18.859264Z digest=sha256:aee59117fafb1ac67e67c8dbeec16ed35c6691bd6b1f2d2a7418af779c2c8876

Observation 334b62b5-e8bc-4046-ade8-dcbbbac08001 · outbound

This paper cites Smartphone-based pedestrian inertial tracking: Dataset, model, and deployment.

Tracking Large-scale Shared Bikes with Inertial Motion Learning in GNSS Blocked Environments Smartphone-based pedestrian inertial tracking: Dataset, model, and deployment

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T11:13:41.887519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T23:23:18.859264Z digest=sha256:12ed5c365f1625f1e499fbfd9b5e54552fe0589bdd0385b2c8c80e5f09af4015

Observation 64fa412c-9432-4762-bea7-56d28e46c176 · outbound

This paper cites A benchmark for the evaluation of rgb-d slam systems.

Tracking Large-scale Shared Bikes with Inertial Motion Learning in GNSS Blocked Environments A benchmark for the evaluation of rgb-d slam systems

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T11:13:41.885731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T23:23:18.859264Z digest=sha256:ae6e5840a32c36cbe261e680c60ce093c82b5a61475c1abe12383615c1da51a1

Pith citing papers

No inbound Pith citation observations are available.