Dense-depth map guided deep Lidar-Visual Odometry with Sparse Point Clouds and Images | Paper Citation Record

Observation 7f80d67f-40ea-4081-b86a-fea014065f13 · outbound

This paper cites Lio-sam: Tightly-coupled lidar inertial odometry via smoothing and mapping,.

Dense-depth map guided deep Lidar-Visual Odometry with Sparse Point Clouds and Images Lio-sam: Tightly-coupled lidar inertial odometry via smoothing and mapping,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:35:19.474405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c709f784-18d4-4084-b3b9-df5464808909 · outbound

This paper cites Visual-lidar odometry and mapping: Low-drift, robust, and fast,.

Dense-depth map guided deep Lidar-Visual Odometry with Sparse Point Clouds and Images Visual-lidar odometry and mapping: Low-drift, robust, and fast,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:35:19.465026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9c7683de-d0f1-48ba-8a2b-abd229bd3931 · outbound

This paper cites Self-supervised visual- lidar odometry with flip consistency,.

Dense-depth map guided deep Lidar-Visual Odometry with Sparse Point Clouds and Images Self-supervised visual- lidar odometry with flip consistency,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:35:19.456484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3a4c546f-50b3-4ffe-a919-625e9d1e9454 · outbound

This paper cites Cnn-slam: Real-time dense monocular slam with learned depth prediction,.

Dense-depth map guided deep Lidar-Visual Odometry with Sparse Point Clouds and Images Cnn-slam: Real-time dense monocular slam with learned depth prediction,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:35:19.448088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 951fa2e2-b6db-4888-89ef-84adbf7469c5 · outbound

This paper cites Pwc-net: Cnns for optical flow using pyramid, warping, and cost volume,.

Dense-depth map guided deep Lidar-Visual Odometry with Sparse Point Clouds and Images Pwc-net: Cnns for optical flow using pyramid, warping, and cost volume,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:35:19.439875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 98ad9503-d6e0-4c45-941b-9599550a2557 · outbound

This paper cites Lidar odometry and mapping based on semantic information for outdoor environment,.

Dense-depth map guided deep Lidar-Visual Odometry with Sparse Point Clouds and Images Lidar odometry and mapping based on semantic information for outdoor environment,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:35:19.431662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e7ab5c7a-878a-47b0-809d-ec5dcc5d9e25 · outbound

This paper cites Loam: Lidar odometry and mapping in real- time.

Dense-depth map guided deep Lidar-Visual Odometry with Sparse Point Clouds and Images Loam: Lidar odometry and mapping in real- time

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:35:19.423503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8c14385f-26f9-4ba3-b05c-6f232417d82d · outbound

This paper cites Lego-loam: Lightweight and ground-optimized lidar odometry and mapping on variable terrain,.

Dense-depth map guided deep Lidar-Visual Odometry with Sparse Point Clouds and Images Lego-loam: Lightweight and ground-optimized lidar odometry and mapping on variable terrain,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:35:19.415114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c6e51ffd-4080-4ae7-a9f2-9531df435948 · outbound

This paper cites Vision meets robotics: The kitti dataset,.

Dense-depth map guided deep Lidar-Visual Odometry with Sparse Point Clouds and Images Vision meets robotics: The kitti dataset,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T15:35:18.973258Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 51e3ae7c-017a-498d-8741-351f2a9cf0ee · outbound

This paper cites Depth completion from sparse lidar data with depth-normal constraints,.

Dense-depth map guided deep Lidar-Visual Odometry with Sparse Point Clouds and Images Depth completion from sparse lidar data with depth-normal constraints,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:35:19.402195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation dc83bd3a-0be2-4521-88f5-b168cf2ff653 · outbound

This paper cites Attention is all you need,.

Dense-depth map guided deep Lidar-Visual Odometry with Sparse Point Clouds and Images Attention is all you need,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T15:35:18.978087Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b62529b3-5357-475b-bda2-5befb83338a3 · outbound

This paper cites Are we ready for autonomous driving? the kitti vision benchmark suite,.

Dense-depth map guided deep Lidar-Visual Odometry with Sparse Point Clouds and Images Are we ready for autonomous driving? the kitti vision benchmark suite,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T15:35:18.980250Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5edd0bb2-6e77-457e-bdc0-5c2cd2f7e014 · outbound

This paper cites Orb-slam: a versatile and accurate monocular slam system,.

Dense-depth map guided deep Lidar-Visual Odometry with Sparse Point Clouds and Images Orb-slam: a versatile and accurate monocular slam system,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:35:19.382971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f15bb8ec-fd24-49ba-877d-4d48b9407588 · outbound

This paper cites Orb-slam2: An open-source slam system for monocular, stereo, and rgb-d cameras,.

Dense-depth map guided deep Lidar-Visual Odometry with Sparse Point Clouds and Images Orb-slam2: An open-source slam system for monocular, stereo, and rgb-d cameras,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:35:19.375331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4f5e4043-9286-4cb6-95a2-d478f255f7e4 · outbound

This paper cites Direct sparse odometry,.

Dense-depth map guided deep Lidar-Visual Odometry with Sparse Point Clouds and Images Direct sparse odometry,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T15:35:18.987604Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6d26aab7-20eb-4214-bee1-af8896d09e10 · outbound

This paper cites Dtam: Dense tracking and mapping in real-time,.

Dense-depth map guided deep Lidar-Visual Odometry with Sparse Point Clouds and Images Dtam: Dense tracking and mapping in real-time,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:35:19.362018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c2dc0b9e-bc6f-42e8-aa5b-96aa051fe6f4 · outbound

This paper cites Lsd-slam: Large-scale direct monocular slam,.

Dense-depth map guided deep Lidar-Visual Odometry with Sparse Point Clouds and Images Lsd-slam: Large-scale direct monocular slam,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:35:19.354313Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c11a6f8d-58d9-4406-b6e4-3d04b51bddd8 · outbound

This paper cites Deepvo: Towards end-to- end visual odometry with deep recurrent convolutional neural networks,.

Dense-depth map guided deep Lidar-Visual Odometry with Sparse Point Clouds and Images Deepvo: Towards end-to- end visual odometry with deep recurrent convolutional neural networks,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:35:19.346320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c3902ca7-4235-40df-ba29-81360f7f27b9 · outbound

This paper cites DF-VO: What Should Be Learnt for Visual Odometry?.

Dense-depth map guided deep Lidar-Visual Odometry with Sparse Point Clouds and Images DF-VO: What Should Be Learnt for Visual Odometry?

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T15:35:18.997147Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 989f5edd-55d2-4be3-a1c7-175ae6955423 · outbound

This paper cites Raft: Recurrent all-pairs field transforms for op- tical flow,.

Dense-depth map guided deep Lidar-Visual Odometry with Sparse Point Clouds and Images Raft: Recurrent all-pairs field transforms for op- tical flow,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:35:19.338110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 65dad3a1-5f76-4510-9f36-ae56accf8d63 · outbound

This paper cites Unsupervised learning of monocular depth estimation and visual odom- etry with deep feature reconstruction,.

Dense-depth map guided deep Lidar-Visual Odometry with Sparse Point Clouds and Images Unsupervised learning of monocular depth estimation and visual odom- etry with deep feature reconstruction,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:35:19.329975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 589bdf03-f996-46b4-9bac-2ae7f06ecfb2 · outbound

This paper cites D3vo: Deep depth, deep pose and deep uncertainty for monocular visual odometry,.

Dense-depth map guided deep Lidar-Visual Odometry with Sparse Point Clouds and Images D3vo: Deep depth, deep pose and deep uncertainty for monocular visual odometry,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T15:35:19.004882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9bf6c3dd-598c-4944-a88d-73470ae2068b · outbound

This paper cites Method for registration of 3-d shapes,.

Dense-depth map guided deep Lidar-Visual Odometry with Sparse Point Clouds and Images Method for registration of 3-d shapes,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T15:35:19.007589Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97d49b7c-5941-467a-8176-d57c443bbf55 · outbound

This paper cites Tightly coupled 3d lidar inertial odometry and mapping,.

Dense-depth map guided deep Lidar-Visual Odometry with Sparse Point Clouds and Images Tightly coupled 3d lidar inertial odometry and mapping,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:35:19.311152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation aeb5c84c-f293-4799-8067-135693592c75 · outbound

This paper cites Lo- net: Deep real-time lidar odometry,.

Dense-depth map guided deep Lidar-Visual Odometry with Sparse Point Clouds and Images Lo- net: Deep real-time lidar odometry,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:35:19.303858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7d3f05f7-3b66-4458-a0c3-be45a8173256 · outbound

This paper cites DeepLO: Geometry-Aware Deep LiDAR Odometry.

Dense-depth map guided deep Lidar-Visual Odometry with Sparse Point Clouds and Images DeepLO: Geometry-Aware Deep LiDAR Odometry

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-08-06T15:35:19.103120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c801dfc7-2467-43d1-abc1-781336aea458 · outbound

This paper cites Pwclo-net: Deep lidar odometry in 3d point clouds using hierarchical embedding mask optimization,.

Dense-depth map guided deep Lidar-Visual Odometry with Sparse Point Clouds and Images Pwclo-net: Deep lidar odometry in 3d point clouds using hierarchical embedding mask optimization,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:35:19.296180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 1706b5eb-92ca-4c8d-9c37-501935b7b7b2 · outbound

This paper cites Lodonet: A deep neural network with 2d keypoint matching for 3d lidar odometry estimation,.

Dense-depth map guided deep Lidar-Visual Odometry with Sparse Point Clouds and Images Lodonet: A deep neural network with 2d keypoint matching for 3d lidar odometry estimation,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:35:19.287426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 95ddcd3e-d110-4e0d-a1ce-47c53c3255ae · outbound

This paper cites Illumination invariant imaging: Applications in robust vision-based localisation, mapping and classification for autonomous vehicles,.

Dense-depth map guided deep Lidar-Visual Odometry with Sparse Point Clouds and Images Illumination invariant imaging: Applications in robust vision-based localisation, mapping and classification for autonomous vehicles,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:35:19.279878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 70da1640-23f5-4c9d-b083-cc4bfddf0695 · outbound

This paper cites Dvlo: Deep visual-lidar odometry with local-to-global feature fusion and bi- directional structure alignment,.

Dense-depth map guided deep Lidar-Visual Odometry with Sparse Point Clouds and Images Dvlo: Deep visual-lidar odometry with local-to-global feature fusion and bi- directional structure alignment,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:35:19.272096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4e554308-7c4d-4991-b2d5-08b3a6d6d1f5 · outbound

This paper cites Visual-lidar slam based on unsu- pervised multi-channel deep neural networks,.

Dense-depth map guided deep Lidar-Visual Odometry with Sparse Point Clouds and Images Visual-lidar slam based on unsu- pervised multi-channel deep neural networks,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:35:19.263158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c529d5f5-0a30-4be1-8ba8-951cc4ae6368 · outbound

This paper cites Penet: Towards precise and efficient image guided depth completion,.

Dense-depth map guided deep Lidar-Visual Odometry with Sparse Point Clouds and Images Penet: Towards precise and efficient image guided depth completion,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:35:19.254788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c9239060-1458-432f-9f67-ed248afd8e07 · outbound

This paper cites Squeeze-and-excitation networks,.

Dense-depth map guided deep Lidar-Visual Odometry with Sparse Point Clouds and Images Squeeze-and-excitation networks,

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-06T15:35:19.032112Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dea49cde-2123-4713-bd43-0018d071324b · outbound

This paper cites Cbam: Convolutional block attention module,.

Dense-depth map guided deep Lidar-Visual Odometry with Sparse Point Clouds and Images Cbam: Convolutional block attention module,

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-06T15:35:19.034521Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 75adfa30-2f66-4dba-b247-5f9f79fab562 · outbound

This paper cites Liteflownet: A lightweight convo- lutional neural network for optical flow estimation,.

Dense-depth map guided deep Lidar-Visual Odometry with Sparse Point Clouds and Images Liteflownet: A lightweight convo- lutional neural network for optical flow estimation,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:35:19.237246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9792c978-bfc7-4f18-8381-b42cefa50e0c · outbound

This paper cites Maskflownet: Asymmetric feature matching with learnable occlusion mask,.

Dense-depth map guided deep Lidar-Visual Odometry with Sparse Point Clouds and Images Maskflownet: Asymmetric feature matching with learnable occlusion mask,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:35:19.229132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 46ab984e-98ab-425e-91e2-9f24a0a09fac · outbound

This paper cites Just go with the flow: Self-supervised scene flow estimation,.

Dense-depth map guided deep Lidar-Visual Odometry with Sparse Point Clouds and Images Just go with the flow: Self-supervised scene flow estimation,

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-06T15:35:19.041856Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8d867eb8-fcd9-45f2-ae06-e13bcbeec217 · outbound

This paper cites Rethinking optical flow from geometric matching consistent perspective,.

Dense-depth map guided deep Lidar-Visual Odometry with Sparse Point Clouds and Images Rethinking optical flow from geometric matching consistent perspective,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:35:19.216431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6f56942c-0c0a-4e96-b358-e03935ef8b71 · outbound

This paper cites Depth- aware video frame interpolation,.

Dense-depth map guided deep Lidar-Visual Odometry with Sparse Point Clouds and Images Depth- aware video frame interpolation,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:35:19.208881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e6a88bb9-8196-4e0c-a089-5d1b19c80860 · outbound

This paper cites Unsupervised learning of depth and ego-motion from video,.

Dense-depth map guided deep Lidar-Visual Odometry with Sparse Point Clouds and Images Unsupervised learning of depth and ego-motion from video,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:35:19.201302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a4736c0e-09d2-4024-a2cf-991bfe8f84a2 · outbound

This paper cites Generalizing to the open world: Deep visual odometry with online adaptation,.

Dense-depth map guided deep Lidar-Visual Odometry with Sparse Point Clouds and Images Generalizing to the open world: Deep visual odometry with online adaptation,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:35:19.193395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation bc921045-f3ce-4ee5-8cfd-e5fb1e535cf1 · outbound

This paper cites H-vlo: hybrid lidar-camera fusion for self-supervised odometry,.

Dense-depth map guided deep Lidar-Visual Odometry with Sparse Point Clouds and Images H-vlo: hybrid lidar-camera fusion for self-supervised odometry,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:35:19.185236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3edab751-962a-4018-976e-6cac49115902 · outbound

This paper cites Dvl-slam: Sparse depth enhanced direct visual-lidar slam,.

Dense-depth map guided deep Lidar-Visual Odometry with Sparse Point Clouds and Images Dvl-slam: Sparse depth enhanced direct visual-lidar slam,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:35:19.177219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0efeaedd-b9a6-41f0-a1b9-97fe8e966a0a · outbound

This paper cites Lidar- monocular visual odometry using point and line features,.

Dense-depth map guided deep Lidar-Visual Odometry with Sparse Point Clouds and Images Lidar- monocular visual odometry using point and line features,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:35:19.169309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b7e4f13a-87e1-45a1-8800-97c357860be4 · outbound

This paper cites Efficient 3d deep lidar odometry,.

Dense-depth map guided deep Lidar-Visual Odometry with Sparse Point Clouds and Images Efficient 3d deep lidar odometry,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:35:19.161373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation baa1b184-d2d9-4281-a77b-5298aff1cfe0 · outbound

This paper cites Selfvio: Self-supervised deep monocular visual–inertial odometry and depth estimation,.

Dense-depth map guided deep Lidar-Visual Odometry with Sparse Point Clouds and Images Selfvio: Self-supervised deep monocular visual–inertial odometry and depth estimation,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:35:19.152964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8d4fc6c4-2ef7-42fe-abcb-eff92a6e5da4 · outbound

This paper cites Un- supervised deep visual-inertial odometry with online error correction for rgb-d imagery,.

Dense-depth map guided deep Lidar-Visual Odometry with Sparse Point Clouds and Images Un- supervised deep visual-inertial odometry with online error correction for rgb-d imagery,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:35:19.144912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 67c97013-ed81-4b3a-b526-8aed8d6cb542 · outbound

This paper cites Self-supervised depth comple- tion from direct visual-lidar odometry in autonomous driving,.

Dense-depth map guided deep Lidar-Visual Odometry with Sparse Point Clouds and Images Self-supervised depth comple- tion from direct visual-lidar odometry in autonomous driving,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:35:19.136903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 542e1920-7271-48c0-a863-484d8f2cf69f · outbound

This paper cites Recent advances in conventional and deep learning-based depth completion: A survey,.

Dense-depth map guided deep Lidar-Visual Odometry with Sparse Point Clouds and Images Recent advances in conventional and deep learning-based depth completion: A survey,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:35:19.128577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a3eea151-2abf-4474-ab5c-d3831e786af0 · outbound

This paper cites Multi-sensor fusion self-supervised deep odometry and depth estimation,.

Dense-depth map guided deep Lidar-Visual Odometry with Sparse Point Clouds and Images Multi-sensor fusion self-supervised deep odometry and depth estimation,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:35:19.119995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers