Newsroom Articles All News Blog Publications TreeIRL: Safe Urban Driving with Tree Search and Inverse Reinforcement Learning Lab2Car: A Versatile Wrapper for Deploying Experimental Planners in Complex Real-World Environments DriveIRL: Drive in Real Life with Inverse Reinforcement Learning Coming In! Communicating Lane Change Intent in Autonomous Vehicles I See You! Design Factors for Supporting Pedestrian-AV Interaction at Crosswalks Safe to Approach: Insights on Autonomous Vehicle Interaction Protocols with First Responders Panoptic nuScenes dataset: A Large-Scale Benchmark for LiDAR Panoptic Segmentation and Tracking Multimodal Trajectory Prediction Conditioned on Lane-Graph Traversals The Reasonable Crowd: Towards evidence-based and interpretable models of driving behavior nuPlan: A closed-loop ML-based planning benchmark for autonomous vehicles Plane & Sample: Maximizing Information about Autonomous Vehicle Performance Using Submodular Optimization Safety of the Intended Driving Behavior Using Rulebooks PointPainting: Sequential Fusion for 3D Object Detection nuScenes: A multimodal dataset for autonomous driving PointPillars: Fast Encoders for Object Detection From Point Clouds Load More
Plane & Sample: Maximizing Information about Autonomous Vehicle Performance Using Submodular Optimization
