Contingency Planning with Learned Models of Behavioral and Perceptual Uncertainty

Contingency Planning with Learned Models of Behavioral and Perceptual Uncertainty

Vision-centric Autonomous Driving: from Perception to Prediction

Spotlight Talks at ML4AD workshop

CausalAgents: A Robustness Benchmark for Motion Forecasting using Causal Relationships

TALISMAN

Controlling Steering with Energy-Based Models

One-Shot Learning of Visual Path Navigation for Autonomous Vehicles

AdvDO: Realistic Adversarial Attacks for Trajectory Prediction

Calibrated Perception Uncertainty Across Objects and Regions in Bird's-Eye-View

Robust Trajectory Prediction against Adversarial Attacks

Risk Perception in Driving Scenes

Monitoring of Perception Systems: Deterministic, Probabilistic, and Learning-based Fault Detection