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LiDAR Lateral Localisation Despite Challenging Occlusion from Traffic

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arxiv 2003.04708 v1 pith:ZNGQAO7U submitted 2020-03-10 cs.RO

LiDAR Lateral Localisation Despite Challenging Occlusion from Traffic

classification cs.RO
keywords laterallocalisationroadboundarieslidaroccludedocclusiontraffic
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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This paper presents a system for improving the robustness of LiDAR lateral localisation systems. This is made possible by including detections of road boundaries which are invisible to the sensor (due to occlusion, e.g. traffic) but can be located by our Occluded Road Boundary Inference Deep Neural Network. We show an example application in which fusion of a camera stream is used to initialise the lateral localisation. We demonstrate over four driven forays through central Oxford - totalling 40 km of driving - a gain in performance that inferring of occluded road boundaries brings.

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