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05/12/2023
Dynamically Conservative Self-Driving Planner for Long-Tail Cases
Self-driving vehicles (SDVs) are becoming reality but still suffer from ...
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05/12/2023
Identify, Estimate and Bound the Uncertainty of Reinforcement Learning for Autonomous Driving
Deep reinforcement learning (DRL) has emerged as a promising approach fo...
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09/08/2022
Privacy of Autonomous Vehicles: Risks, Protection Methods, and Future Directions
Recent advances in machine learning have enabled its wide application in...
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07/02/2022
Long-Tail Prediction Uncertainty Aware Trajectory Planning for Self-driving Vehicles
A typical trajectory planner of autonomous driving usually relies on pre...
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04/25/2022
Road Traffic Law Adaptive Decision-making for Self-Driving Vehicles
Self-driving vehicles have their own intelligence to drive on open roads...
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12/12/2021
Multi-Agent Vulnerability Discovery for Autonomous Driving with Hazard Arbitration Reward
Discovering hazardous scenarios is crucial in testing and further improv...
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02/06/2021
Sill-Net: Feature Augmentation with Separated Illumination Representation
For visual object recognition tasks, the illumination variations can cau...
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12/02/2020
Driving-Policy Adaptive Safeguard for Autonomous Vehicles Using Reinforcement Learning
Safeguard functions such as those provided by advanced emergency braking...
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10/26/2020
Learning Fast Approximations of Sparse Nonlinear Regression
The idea of unfolding iterative algorithms as deep neural networks has b...
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03/21/2020