SVM based Pedestrian Detection System for Sidewalk Snow Removing Machines
Yuta Sasaki, Takanori Emaru, Ankit A. Ravankar · 2021
In this paper, we present a novel pedestrian detection system for sidewalk snow removing vehicles particularly for night driving scenarios. The information in front of the snowplow is obtained by clustering and classifying objects using LiDAR point clouds. A robust pedestrian detection and classification algorithm using the support vector machine(SVM) is proposed. We tested the system on an actual machine and the accuracy our method is verified by experiments.