智慧交通及认知计算实验室 | ITCCL

障碍物检测预警系统


项目简介


障碍物特征提取及识别是整个系统中最重要的一环。地铁行驶区间中可能出现的障碍物包括:因震动掉落的混凝土块、侵入地铁行车限界的轨旁设备、站场中意外跌落的异物、行人等等。地铁虽然有着独立的路权,但其入侵行驶限界的障碍物有着突发性强与危险性大的特点。




项目图集


学术成果
1、Zan Chen, Cheng Wu, Lijun Zhang, Yiming Wang. Near Real-time Situation Awareness and Anomaly Detection for Complex Railway Environment[C]. 2021 IEEE Conference on Cognitive and Computational Aspects of Situation Management. 2、MRSI: A Multimodal Proximity Remote Sensing Dataset for Perception of Operating Environment in Rail Transit, 2021, IEEE Transaction on Image Processing(已投稿) 3、赵宇恒, 汪一鸣, 吴澄. 高动态复杂铁路环境下的毫米波雷达去噪与障碍物检测 [J]. 数据采集与处理(已录用) 4、Zan Chen, Jie Sheng, Ziwen Tang, Qian Wu, Cheng Wu, Yiming Wang. Dynamic Resource Allocation Algorithm Based on Queue Management in High-Speed Railway Communication Networks. 17th IWCMC 2021.