Dense Road Surface Grip Map Prediction from Multimodal Image Data

arXiv:2404.17324v1 Announce Type: new
Abstract: Slippery road weather conditions are prevalent in many regions and cause a regular risk for traffic. Still, there has been less research on how autonomous vehicles could detect slippery driving conditions on the road to drive safely. In this work, we propose a method to predict a dense grip map from the area in front of the car, based on postprocessed multimodal sensor data. We trained a convolutional neural network to predict pixelwise grip values …

abstract arxiv autonomous autonomous vehicles cs.cv data drive driving image image data map multimodal prediction research risk surface traffic type vehicles weather work