AttenNKF augments InEKF with an attention-based neural compensator trained in latent space to correct foot-slip errors in legged robot state estimation.
Perception and sensing for autonomous vehicles under adverse weather conditions: A survey
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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cs.RO 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
RACF corrects inconsistent depth camera distance estimates in autonomous vehicles using LiDAR and kinematic redundancy, achieving up to 35% RMSE reduction and better braking in tests on a Quanser QCar 2 platform.
citing papers explorer
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Attention-Based Neural-Augmented Kalman Filter for Legged Robot State Estimation
AttenNKF augments InEKF with an attention-based neural compensator trained in latent space to correct foot-slip errors in legged robot state estimation.
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RACF: A Resilient Autonomous Car Framework with Object Distance Correction
RACF corrects inconsistent depth camera distance estimates in autonomous vehicles using LiDAR and kinematic redundancy, achieving up to 35% RMSE reduction and better braking in tests on a Quanser QCar 2 platform.