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20192026
most citedSeqLPD: Sequence Matching Enhanced Loop-Closure Detection Based on Large-Scale Point Cloud Description for Self-Driving Vehicles

5 citations · 5 across the 5 of their papers we have counts for

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cs.CV2019★ 5 cited

SeqLPD: Sequence Matching Enhanced Loop-Closure Detection Based on Large-Scale Point Cloud Description for Self-Driving Vehicles

Zhe Liu, Chuanzhe Suo, Shunbo Zhou +4

Place recognition and loop-closure detection are main challenges in the localization, mapping and navigation tasks of self-driving vehicles. In this paper, we solve the loop-closur…