Analyzing the Visual Road Scene for Driver Stress Estimation

Engineering, Transportation Engineering, Information Science, Computer Science, Artificial Intelligence,
driver stress estimation   road scene analysis   driver assistance technologies   machine learning   visual analysis  

Research on Driver Stress Estimation Based on Visual Road Scenes Academic Background Driver stress is a significant factor contributing to traffic accidents, injuries, and fatalities. Studies show that 94% of traffic accidents are related to drivers, with inattention, internal and external distractions, and improper speed control all closely linked...

Lidar-guided Geometric Pretraining for Vision-centric 3D Object Detection

Lidar-guided Geometric Pretraining for Vision-centric 3D Object Detection

Chemistry, Nanoscience, Engineering, Mechanical Engineering, Ocean Engineering, Transportation Engineering, Electrical Engineering, Information Science, Computer Science, Artificial Intelligence,
3D object detection   geometric pretraining   vision-centric   autonomous driving   cross-modal   knowledge distillation   Lidar  

Lidar-Guided Geometric Pretraining Enhances Performance of Vision-Centric 3D Object Detection Background Introduction In recent years, multi-camera 3D object detection has garnered significant attention in the field of autonomous driving. However, vision-based methods still face challenges in precisely extracting geometric information from RGB imag...

Adaptive Composite Fixed-Time RL-Optimized Control for Nonlinear Systems and Its Application to Intelligent Ship Autopilot

Engineering, Mechanical Engineering, Ocean Engineering, Transportation Engineering, Electrical Engineering, Information Science, Computer Science, Automation, Artificial Intelligence,
adaptive control   fixed-time control   reinforcement learning   nonlinear systems   neural networks   intelligent ships   optimization methods  

Nonlinear Fixed-Time Reinforcement Learning Optimized Control for Intelligent Ship Autopilots In recent years, intelligent autopilot technology has gradually become a research hotspot in the field of automation control. For complex nonlinear systems, the design of optimized control strategies, especially the achievement of system stability and perf...

An End-to-End Visual Semantic Localization Network Using Multi-View Images

Engineering, Transportation Engineering, Information Science, Electronic Information, Computer Science, Artificial Intelligence,
visual localization   semantic map   bird-eye-view   Transformer   pose estimation  

A Study on End-to-End Visual Semantic Localization Using Multi-View Images Background and Research Significance With the rapid development of intelligent driving technology, precise localization of autonomous vehicles has become a hot topic in research and industry. Accurate vehicle localization is not only a core module of autonomous driving but a...

Weakly Supervised Semantic Segmentation of Driving Scenes Based on Few Annotated Pixels and Point Clouds

Engineering, Transportation Engineering, Information Science, Computer Science,
weakly supervised   semantic segmentation   driving scenes   point cloud data   pseudo labels  

Few Annotated Pixels and Point Cloud Based Weakly Supervised Semantic Segmentation of Driving Scenes Background and Research Issues Semantic segmentation, a critical task in computer vision, has extensive applications in domains like autonomous driving. However, traditional fully-supervised semantic segmentation methods require exhaustive pixel-lev...

Learning Robust Autonomous Navigation and Locomotion for Wheeled-Legged Robots

Learning Robust Autonomous Navigation and Locomotion for Wheeled-Legged Robots

Engineering, Transportation Engineering, Information Science, Automation, Artificial Intelligence,
autonomous navigation   wheeled-legged robots   autonomous logistics   urban environments   machine learning   deep reinforcement learning  

Autonomous Navigation and Walking Wheel-Leg Robot Background Introduction The acceleration of urbanization has posed significant challenges for supply chain logistics, especially for last-mile delivery. As traffic pressure increases and the demand for faster delivery services rises, particularly with complex routes indoors and on city streets, trad...

Learning Spatio-Temporal Dynamics on Mobility Networks for Adaptation to Open-World Events

Engineering, Transportation Engineering, Information Science, Computer Science, Artificial Intelligence,
spatio-temporal dynamics   mobility networks   open-world events   graph neural networks   dynamic filter generator  

Adapting to Open-World Events via Learning Spatio-Temporal Dynamics on Mobility Networks Research Background In modern society, the Mobility-as-a-Service (MaaS) system is seamlessly integrated by various transportation modes (such as public transport, ride-sharing, and shared bicycles). To achieve efficient MaaS operation, modeling the spatio-tempo...