Latest Research in Autonomous Vehicle Technology and Safety
19 research papers · 2026 median publication year
Top Research Topics in Autonomous Vehicle Technology and Safety
- Computer Vision and Pattern Recognition — 11 papers
- Autonomous Vehicle Technology and Safety — 2 papers
- Topological and Geometric Data Analysis — 2 papers
- Advanced Vision and Imaging — 1 papers
- Emotion and Mood Recognition — 1 papers
- Advanced Neural Network Applications — 1 papers
- Video Surveillance and Tracking Methods — 1 papers
Highest-Cited Papers
- ProtoHGF-Net: Prototype HyperGraph Fusion with Intra-modal Calibration for RGBT Object Detection
- Efficient HD Map Generation for Autonomous Driving With Spline
- MSP-Net: Manifold-Guided Spectral Prompt Network for Hyperspectral Object Tracking
- ECAD: Expanding Class-Agnostic Detection Beyond Thing-Centric Objectness
- Depth-Guided Video Object Counting in Crowded Scenes
- Accurate Localization of Road Traffic Objects on the Road Plane Using Surveillance Camera Imagery
- PRISM-MTL: Inter-Modal Selective Multi-Task Learning for Assistive Driving Perception
- Bridging Multimodal Fusion and Expert Routing via Spectral Reliability Descriptors for Robust Object Detection
- RDVSv2: A Large-scale Benchmark for RGB-D Video Salient Object Detection
- CD-RMOT-Bench: Benchmarking the Cross-Domain Referring Multi-Object Tracking
- TopoGraph-Fusion: Hierarchical Task-Conditioned Topology Reasoning for RGB–Thermal Object Detection
- Motion saliency-guided multimodal temporal fusion for autonomous driving
- Multi-Attribute Scene Context and Pedestrian Behaviour Recognition using PEFT-Tuned Vision Transformer Model for Autonomous Driving System
- Topo-Consynch: Topological Nyquist Limit and Jiangqiao Topological Extraction Criterion for Discrete-Continuous Multimodal Consistency
- Topo-Consynch: Topological Nyquist Limit and Jiangqiao Topological Extraction Criterion for Discrete-Continuous Multimodal Consistency
- ReID-based multi-camera multi-target tracking concept for automated driving in urban environments
- Generative Semantic Multi-Object Tracking: A Large-Scale Benchmark and an MLLM-Driven Reasoning Framework
- FogDrive: A Multi-Modal Synthetic Driving Dataset for Perception under Graded Fog
- CLIFE: Camera-LiDAR Fusion Framework for Edge-Deployable Roadside VRU Perception