Unmanned aerial vehicles (UAVs) and unmanned ground vehicles (UGVs) often lose satellite positioning in urban canyons, indoor facilities, and jammed or spoofed environments, making vision-based matching with geo-tagged databases important for absolute positioning. However, limited onboard computation and energy often r...
Zheng-Ru Fang, Huanhuan Lou, Sen-Kang Hu et al.· 0 citations
Intersections remain one of the most hazardous locations in urban road networks, where heterogeneous traffic participants and limited visibility frequently lead to severe traffic conflicts. In this paper, a vehicle-to-infrastructure-to-vehicle (V2I2V) cooperative system is proposed for improving road safety and traffic...
Tao Yu, Kui Wang, Zong-Dian Li et al.· 0 citations
Efficient and reliable path planning remains a core challenge for autonomous
vehicles operating in dynamic and crowded environments. Although Deep
Reinforcement Learning (DRL) has shown considerable potential in autonomous
decision-making, it still faces challenges such as insufficient feature
extraction, sparse re...
Shiquan Shen, Jiahao Liu, Zheng Chen et al.· SAE technical paper series· 0 citations
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