autonomous driving

LiON: Learning Point-Wise Abstaining Penalty for LiDAR Outlier DetectioN Using Diverse Synthetic Data AAAI 2025 LOMA: Language-assisted Semantic Occupancy Network via Triplane Mamba AAAI 2025 Long-term Traffic Simulation with Interleaved Autoregressive Motion and Scenario Generation ICCV 2025 LORD: Large Models Based Opposite Reward Design for Autonomous Driving WACV 2025 M2Flow: A Motion Information Fusion Framework for Enhanced Unsupervised Optical Flow Estimation in Autonomous Driving AAAI 2025 M3Net: Multimodal Multi-task Learning for 3D Detection, Segmentation, and Occupancy Prediction in Autonomous Driving AAAI 2025 MagicDrive-V2: High-Resolution Long Video Generation for Autonomous Driving with Adaptive Control ICCV 2025 MamBEV: Enabling State Space Models to Learn Birds-Eye-View Representations ICLR 2025 MemFusionMap: Working Memory Fusion for Online Vectorized HD Map Construction WACV 2025 Memory-Augmented Re-Completion for 3D Semantic Scene Completion AAAI 2025 MergeOcc: Bridge the Domain Gap between Different LiDARs for Robust Occupancy Prediction ICCV 2025 Mind the Map! Accounting for Existing Maps When Estimating Online HDMaps from Sensors WACV 2025 Mixed Patch Visible-Infrared Modality Agnostic Object Detection WACV 2025 Mixed Signals: A Diverse Point Cloud Dataset for Heterogeneous LiDAR V2X Collaboration ICCV 2025 MMTL-UniAD: A Unified Framework for Multimodal and Multi-Task Learning in Assistive Driving Perception CVPR 2025 Modality-Incremental Learning with Disjoint Relevance Mapping Networks for Image-Based Semantic Segmentation WACV 2025 Model Risk-sensitive Offline Reinforcement Learning ICLR 2025 ModeSeq: Taming Sparse Multimodal Motion Prediction with Sequential Mode Modeling CVPR 2025 MonoPP: Metric-Scaled Self-Supervised Monocular Depth Estimation by Planar-Parallax Geometry in Automotive Applications WACV 2025 MonoTAKD: Teaching Assistant Knowledge Distillation for Monocular 3D Object Detection CVPR 2025 MPDrive: Improving Spatial Understanding with Marker-Based Prompt Learning for Autonomous Driving CVPR 2025 Multi-Agent Autonomous Driving Systems with Large Language Models: A Survey of Recent Advances, Resources, and Future Directions EMNLP 2025 Multi-modal Knowledge Distillation-based Human Trajectory Forecasting CVPR 2025 NATRA: Noise-Agnostic Framework for Trajectory Prediction with Noisy Observations ICCV 2025 NBA3D: Neighbor-Based Confidence Adjustment for 3D Rare Object Detection Using LiDAR AAAI 2025