autonomous vehicle

Foundations of Autonomous Vehicles: A Curriculum Model for Developing Competencies in Artificial Intelligence and the Internet of Things for Grades 7–10 AAAI 2024 FREA: Feasibility-Guided Generation of Safety-Critical Scenarios with Reasonable Adversariality CoRL 2024 From Chaos to Calibration: A Geometric Mutual Information Approach To Target-Free Camera LiDAR Extrinsic Calibration WACV 2024 Fusion Is Not Enough: Single Modal Attacks on Fusion Models for 3D Object Detection ICLR 2024 Graph-Based Prediction and Planning Policy Network (GP3Net) for Scalable Self-Driving in Dynamic Environments Using Deep Reinforcement Learning AAAI 2024 HIMap: HybrId Representation Learning for End-to-end Vectorized HD Map Construction CVPR 2024 LaKD: Length-agnostic Knowledge Distillation for Trajectory Prediction with Any Length Observations NeurIPS 2024 Language-Driven Interactive Traffic Trajectory Generation NeurIPS 2024 LLM-Powered Synthetic Environments for Self-Driving Scenarios AAAI 2024 Map It Anywhere: Empowering BEV Map Prediction using Large-scale Public Datasets NeurIPS 2024 MGF: Mixed Gaussian Flow for Diverse Trajectory Prediction NeurIPS 2024 MonoProb: Self-Supervised Monocular Depth Estimation With Interpretable Uncertainty WACV 2024 Multi-agent Collaborative Perception via Motion-aware Robust Communication Network CVPR 2024 Multiagent Multitraversal Multimodal Self-Driving: Open MARS Dataset CVPR 2024 Natural Light Can Also Be Dangerous: Traffic Sign Misinterpretation Under Adversarial Natural Light Attacks WACV 2024 Outdoor Scene Extrapolation with Hierarchical Generative Cellular Automata CVPR 2024 PACER+: On-Demand Pedestrian Animation Controller in Driving Scenarios CVPR 2024 Physics-Informed Trajectory Prediction for Autonomous Driving under Missing Observation IJCAI 2024 Producing and Leveraging Online Map Uncertainty in Trajectory Prediction CVPR 2024 Quantifying Uncertainty in Motion Prediction with Variational Bayesian Mixture CVPR 2024 RAG-Driver: Generalisable Driving Explanations with Retrieval-Augmented In-Context Multi-Modal Large Language Model Learning RSS 2024 Rank2Tell: A Multimodal Driving Dataset for Joint Importance Ranking and Reasoning WACV 2024 Rate-Informed Discovery via Bayesian Adaptive Multifidelity Sampling CoRL 2024 RCDN: Towards Robust Camera-Insensitivity Collaborative Perception via Dynamic Feature-based 3D Neural Modeling NeurIPS 2024 Re-Evaluating LiDAR Scene Flow WACV 2024