Unmanned aerial vehicles (UAVs) serving the low-altitude economy require reliable localization in urban canyons, indoor facilities, and other GPS-challenged environments. Visual matching with a geo-tagged database provides an alternative source for absolute positioning, but onboard computation and energy limits motivat...
Zheng-Ru Fang, Huanhuan Lou, Sen-Kang Hu et al.· 0 citations
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
Results indicate that the proposed V2I2V cooperative system provides robust and scalable performance at smart intersections by using digital twins deployed on roadside units to eliminate blind spots and centrally coordinate connected and automated vehicles in smart intersections.
Tao Yu, Kui Wang, Zong-Dian Li et al.· 0 citations
An end-to-end path planning framework built upon the Proximal Policy Optimization algorithm that achieves significant improvements in key metrics such as path success rate, travel time, and path efficiency compared to baseline methods like A*+DWA and standard DRL.
Shiquan Shen, Jiahao Liu, Zheng Chen et al.· SAE technical paper series· 0 citations
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