3 citations · 3 across the 2 of their papers we have counts for
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cs.RO2018
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…
cs.RO2017
Towards Stable Adversarial Feature Learning for LiDAR based Loop Closure Detection
Lingyun Xu, Peng Yin, Haibo Luo +2
Stable feature extraction is the key for the Loop closure detection (LCD) task in the simultaneously localization and mapping (SLAM) framework. In our paper, the feature extraction…
cs.RO2017★ 3 cited
Condition directed Multi-domain Adversarial Learning for Loop Closure Detection
Peng Yin, Yuqing He, Na Liu +1
Loop closure detection (LCD) is the key module in appearance based simultaneously localization and mapping (SLAM). However, in the real life, the appearance of visual inputs are us…