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cs.RO2025
DPNet: Doppler LiDAR Motion Planning for Highly-Dynamic Environments
Wei Zuo, Zeyi Ren, Chengyang Li +7
Existing motion planning methods often struggle with rapid-motion obstacles due to an insufficient understanding of environmental changes. To address this, we propose integrating m…
cs.RO2025
Super LiDAR Intensity for Robotic Perception
Wei Gao, Jie Zhang, Mingle Zhao +6
Conventionally, human intuition defines vision as a modality of passive optical sensing, relying on ambient light to perceive the environment. However, active optical sensing, whic…
cs.RO2025
Night-Voyager: Consistent and Efficient Nocturnal Vision-Aided State Estimation in Object Maps
Tianxiao Gao, Mingle Zhao, Chengzhong Xu +1
Accurate and robust state estimation at nighttime is essential for autonomous robotic navigation to achieve nocturnal or round-the-clock tasks. An intuitive question arises: Can lo…