17 citations · 32 across the 12 of their papers we have counts for
8 papers · 1 filter
MUI-TARE: Multi-Agent Cooperative Exploration with Unknown Initial Position
Jingtian Yan, Xingqiao Lin, Zhongqiang Ren +6
Multi-agent exploration of a bounded 3D environment with unknown initial positions of agents is a challenging problem. It requires quickly exploring the environments as well as rob…
General Place Recognition Survey: Towards the Real-world Autonomy Age
Peng Yin, Shiqi Zhao, Ivan Cisneros +6
Place recognition is the fundamental module that can assist Simultaneous Localization and Mapping (SLAM) in loop-closure detection and re-localization for long-term navigation. The…
MRS-VPR: a multi-resolution sampling based global visual place recognition method
Peng Yin, Rangaprasad Arun Srivatsan, Yin Chen +7
Place recognition and loop closure detection are challenging for long-term visual navigation tasks. SeqSLAM is considered to be one of the most successful approaches to achieving l…
A Multi-Domain Feature Learning Method for Visual Place Recognition
Peng Yin, Lingyun Xu, Xueqian Li +6
Visual Place Recognition (VPR) is an important component in both computer vision and robotics applications, thanks to its ability to determine whether a place has been visited and…
Synchronous Adversarial Feature Learning for LiDAR based Loop Closure Detection
Peng Yin, Yuqing He, Lingyun Xu +3
Loop Closure Detection (LCD) is the essential module in the simultaneous localization and mapping (SLAM) task. In the current appearance-based SLAM methods, the visual inputs are u…
Learning to Sequence Robot Behaviors for Visual Navigation
Hadi Salman, Puneet Singhal, Tanmay Shankar +6
Recent literature in the robotics community has focused on learning robot behaviors that abstract out lower-level details of robot control. To fully leverage the efficacy of such b…