Artificial Intelligence › Core AI ›

Autonomous Vehicles

1360 directly classified papers

Papers per year

Papers

Multiple Thinking Achieving Meta-Ability Decoupling for Object Navigation ICML 2023

Learning to Drive Anywhere CORL 2023

BEVFormer v2: Adapting Modern Image Backbones to Bird's-Eye-View Recognition via Perspective Supervision CVPR 2023

CAT: Closed-loop Adversarial Training for Safe End-to-End Driving CORL 2023

V2X-Seq: A Large-Scale Sequential Dataset for Vehicle-Infrastructure Cooperative Perception and Forecasting CVPR 2023

BEV-LaneDet: An Efficient 3D Lane Detection Based on Virtual Camera via Key-Points CVPR 2023

V2V4Real: A Real-World Large-Scale Dataset for Vehicle-to-Vehicle Cooperative Perception CVPR 2023

DeepMapping2: Self-Supervised Large-Scale LiDAR Map Optimization CVPR 2023

Planning and Learning for Reliable Autonomy in the Open World AAAI 2023

Towards Safe Reinforcement Learning via OOD Dynamics Detection in Autonomous Driving System (Student Abstract) AAAI 2023

Center Focusing Network for Real-Time LiDAR Panoptic Segmentation CVPR 2023

AlphaRoute: Large-Scale Coordinated Route Planning via Monte Carlo Tree Search AAAI 2023

WSiP: Wave Superposition Inspired Pooling for Dynamic Interactions-Aware Trajectory Prediction AAAI 2023

SafeLight: A Reinforcement Learning Method toward Collision-Free Traffic Signal Control AAAI 2023

FocalFormer3D: Focusing on Hard Instance for 3D Object Detection ICCV 2023

Safety Validation of Learning-Based Autonomous Systems: A Multi-Fidelity Approach AAAI 2023

SOREO: A System for Safe and Autonomous Drones Fleet Navigation with Reinforcement Learning AAAI 2023

Crowd3D: Towards Hundreds of People Reconstruction From a Single Image CVPR 2023

Visual Localization Using Imperfect 3D Models From the Internet CVPR 2023

TraCo: Learning Virtual Traffic Coordinator for Cooperation with Multi-Agent Reinforcement Learning CORL 2023

HomeRobot: Open-Vocabulary Mobile Manipulation CORL 2023

Dynamic Multi-Team Racing: Competitive Driving on 1/10-th Scale Vehicles via Learning in Simulation CORL 2023

Batch Differentiable Pose Refinement for In-The-Wild Camera/LiDAR Extrinsic Calibration CORL 2023

Learning Realistic Traffic Agents in Closed-loop CORL 2023

DATT: Deep Adaptive Trajectory Tracking for Quadrotor Control CORL 2023