Latest Research in Autonomous Driving Perception

Top Research Topics in Autonomous Driving Perception

• Computer Vision and Pattern Recognition — 97 papers
• Advanced Neural Network Applications — 22 papers
• Video Surveillance and Tracking Methods — 8 papers
• Robotics — 7 papers
• Advanced Image Fusion Techniques — 5 papers
• Autonomous Vehicle Technology and Safety — 5 papers
• Visual Attention and Saliency Detection — 3 papers
• Infrastructure Maintenance and Monitoring — 3 papers
• Artificial Intelligence — 3 papers
• Advanced Optical Sensing Technologies — 2 papers

Highest-Cited Papers

1. LoDA: A Level of Detection Aware Method and a Multimodal Sensing Benchmark for Object Level Change Detection
2. Fog-YOLO11n: A Lightweight Traffic Object Detection Framework for Autonomous Driving Under Foggy Conditions
3. FireRGBTNet: A Lightweight Forest Fire Detection Model Based on Efficient RGB–Thermal Fusion
4. Robust Perception for Autonomous Driving Under Low-Visibility Conditions: A Review of Low-Light Enhancement, Multimodal Fusion, and Task-Oriented Detection
5. Dynamic Low-Rank Modulation and Frequency-Domain Collaboration for Scene-Adaptive Image Fusion Network
6. ProtoHGF-Net: Prototype HyperGraph Fusion with Intra-modal Calibration for RGBT Object Detection
7. VOLA: Improving Open-World Driving by VLM-Based Semantic Attribute Prediction
8. WLC: Weber-Inspired Local Contrast Metric for Low-Altitude Image Fusion
9. EGM-Det: Entropy-Guided Multimodal Adaptive Fusion for UAV RGB-IR Object Detection
10. Map-Det3D: Metric Feed-Forward 3D Reconstruction Prior for Multi-view 3D Object Detection from Streaming Inputs
11. Exploring Decoupled Spatio-Temporal Consistency Learning and Self-Prompting Evolution for Self-Supervised Tracking
12. Hierarchical token-based communication for robust semantic scene perception under network instability
13. Weighted multi-scale and wavelet-enhanced Segment Anything Model for salient object detection
14. AMSFNet: Adaptive Multi-Scale Fusion Lightweight Network for Real-Time Object Detection in Autonomous Driving
15. Multi-scale global-local collaborative learning for accurate significant object detection
16. Structure-Aware Heterogeneous Dual-Stream Network with Wavelet-Guided Fusion for UAV Infrared–Visible Object Detection
17. JitTrack: Onboard Multi-Object Tracking Against Viewpoint Jitter for Agile UAVs
18. Cross-View Sequential Visual Localization with Spatio-Temporal Context Modeling for Autonomous Driving
19. Bridging Severe Cross-Modal Misalignment: End-to-End Visible-Infrared Object Detection via Explicit Feature-Domain Affine Registration
20. InterPruner: Interactive Structured Pruning via Taylor-Implicit Criterion and Language-Prior Modulator for Multimodal Object Detection

Sub-Regions

• Advanced Neural Network Applications — 50 papers
• Computer Vision and Pattern Recognition — 46 papers
• Infrastructure Maintenance and Monitoring — 32 papers
• Video Surveillance and Tracking Methods — 29 papers
• Autonomous Vehicle Technology and Safety — 19 papers
• Advanced Optical Sensing Technologies — 11 papers