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Found 4 papers, 0 papers with code
Prepared for the Worst: A Learning-Based Adversarial Attack for Resilience Analysis of the ICP Algorithm
This paper presents a novel method to assess the resilience of the Iterative Closest Point (ICP) algorithm via deep-learning-based attacks on lidar point clouds.
Pointing the Way: Refining Radar-Lidar Localization Using Learned ICP Weights
Combining a proven analytical approach with a learned weight reduces localization errors in radar-lidar ICP results run on real-world autonomous driving data by up to 54. 94% in translation and 68. 39% in rotation, while maintaining interpretability and robustness.
Dynamic Lambda-Field: A Counterpart of the Bayesian Occupancy Grid for Risk Assessment in Dynamic Environments
While navigating in complex urban environments, the Bayesian occupancy grid is one of the most popular types of maps, where the information of occupancy is stored as the probability of collision.
Autonomous Vehicles
Robotics
68T40
Improving the Iterative Closest Point Algorithm using Lie Algebra
Applications that require accurate maps, such as environmental monitoring, benefit from additional sensor modalities that reduce such drift.
Robotics
