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Autonomous Vehicles

1360 directly classified papers

Papers per year

Papers

Graph-Based Prediction and Planning Policy Network (GP3Net) for Scalable Self-Driving in Dynamic Environments Using Deep Reinforcement Learning AAAI 2024
Angle Robustness Unmanned Aerial Vehicle Navigation in GNSS-Denied Scenarios AAAI 2024
CTO-SLAM: Contour Tracking for Object-Level Robust 4D SLAM AAAI 2024
DeeR-VLA: Dynamic Inference of Multimodal Large Language Models for Efficient Robot Execution NIPS 2024
NaVid: Video-based VLM Plans the Next Step for Vision-and-Language Navigation RSS 2024
SchurVINS: Schur Complement-Based Lightweight Visual Inertial Navigation System CVPR 2024
Second-Order Graph ODEs for Multi-Agent Trajectory Forecasting WACV 2024
GOAT-Bench: A Benchmark for Multi-Modal Lifelong Navigation CVPR 2024
HoloVIC: Large-scale Dataset and Benchmark for Multi-Sensor Holographic Intersection and Vehicle-Infrastructure Cooperative CVPR 2024
MACP: Efficient Model Adaptation for Cooperative Perception WACV 2024
What Do You See in Vehicle? Comprehensive Vision Solution for In-Vehicle Gaze Estimation CVPR 2024
Not All Voxels Are Equal: Hardness-Aware Semantic Scene Completion with Self-Distillation CVPR 2024
Collaborative Semantic Occupancy Prediction with Hybrid Feature Fusion in Connected Automated Vehicles CVPR 2024
LMDrive: Closed-Loop End-to-End Driving with Large Language Models CVPR 2024
LaMPilot: An Open Benchmark Dataset for Autonomous Driving with Language Model Programs CVPR 2024
Towards Generalizable and Interpretable Motion Prediction: A Deep Variational Bayes Approach AISTATS 2024
Driving Everywhere with Large Language Model Policy Adaptation CVPR 2024
Rapid Motor Adaptation for Robotic Manipulator Arms CVPR 2024
Have We Ever Encountered This Before? Retrieving Out-of-Distribution Road Obstacles From Driving Scenes WACV 2024
Driving-Video Dehazing with Non-Aligned Regularization for Safety Assistance CVPR 2024
Outdoor Scene Extrapolation with Hierarchical Generative Cellular Automata CVPR 2024
StreamingFlow: Streaming Occupancy Forecasting with Asynchronous Multi-modal Data Streams via Neural Ordinary Differential Equation CVPR 2024
Continual Learning for Motion Prediction Model via Meta-Representation Learning and Optimal Memory Buffer Retention Strategy CVPR 2024
On the Road to Portability: Compressing End-to-End Motion Planner for Autonomous Driving CVPR 2024
Quantifying Uncertainty in Motion Prediction with Variational Bayesian Mixture CVPR 2024