Rui Lv's research while affiliated with Jilin University and other places
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Publication (1)
Autonomous driving technology faces significant safety challenges due to the lack of a global perspective and the limitations of long-range perception capabilities. It is widely recognized that vehicle-infrastructure cooperation is essential to achieve Level 5 autonomy. Therefore, it is imperative to develop vehicle-road collaboration to enable acc...
Citations
... Due to the increasing number of vehicles and the advancement of autonomous driving technology, pedestrian-vehicle detection has rapidly developed and focuses on issues such as low power consumption, high accuracy, and lightweight solutions. Various methods have been proposed, including DATMO [17], RCF-Faster R-CNN [18], CA-MobileNetv2-YOLOv4 [19], YCD [8], YOLOv3-promote [20], and RFCC [21]. Conclusion: In the context of pedestrian-vehicle detection, many methods have been proposed, and these approaches hold certain practical value in addressing challenges related to low power consumption, high accuracy, and lightweight solutions. ...
