3 accepted papers
Hot-NetVLAD implements a hot-spot detector on a learned local key-patch descriptor algorithm for Visual Place Recognition (VPR), thereby greatly cutting down the size of features extracted. The hot-spots pinpoint which regions are crucial for comparison when performing VPR. As hot-spots land on only
Sensor degradation is one of the major challenges for autonomous driving. During the rain, the interference from raindrops can negatively influence LiDAR measurements. For example, valid measurements could be reduced during the rain, and some measurements may become noisy. Unreliable measurements ca…
Adverse weather has raised a big challenge for autonomous vehicles. Unreliable measurements due to sensor degradation could seriously affect the performance of autonomous driving tasks, such as perception and localization. In this work, we study sensor degradation in rainy weather and present a nove…