Learning-based motion planning methods such as reinforcement learning (RL) have shown great potential of improving the performance of autonomous driving. H... Z Li,G Jin,R Yu,... - SAE International 被引量: 0发表: 2024年 加载更多来源...
摘要: We investigate an efficient user-assignment scheme for planning a hybrid WDM/TDM-PON by exploiting users' behavior, namely the complementary daily traffic profiles of business and residential customers. Our algorithm significantly reduces the number of wavelengths needed....
human social relations and activities, normative human behavior learning, socially-aware task and motion planning, learning socially annotated maps, and conducting empirical experiments to assess socio-psychological effects of normative robot ... R Triebel,A Kai,R Alami,... 被引量: 48发表: 2017年...
Observed Context-Aware Behavior:上下文感知的行为观察行为,观察,帮助,上下文感知,上下文 文档格式: .pdf 文档大小: 706.63K 文档页数: 10页 顶/踩数: 0/0 收藏人数: 0 评论次数: 0 文档热度: 文档分类: 经济/贸易/财会--财政/国家财政 文档标签: ...
When predicting pedestrian trajectories in the image plane, there is a need to compensate for the ego-motion of the camera in this dynamically changing scene. Current approaches tackle this by incorporating estimated odometry information of the ego-vehicle into the trajectory prediction [2,3,10]. ...
target depend on different factors such as the closeness of tags with the human body, with a consequent drop of the RFID tag performance and the difficulty to select proper location of the tags to ensure the needed redundancy and the mandatory comfort of the workers during motion at the same...