Performance Evaluation of Real-Time Object Detection for Electric Scooters

arXiv:2405.03039v1 Announce Type: new
Abstract: Electric scooters (e-scooters) have rapidly emerged as a popular mode of transportation in urban areas, yet they pose significant safety challenges. In the United States, the rise of e-scooters has been marked by a concerning increase in related injuries and fatalities. Recently, while deep-learning object detection holds paramount significance in autonomous vehicles to avoid potential collisions, its application in the context of e-scooters remains relatively unexplored. This paper addresses this gap by assessing the effectiveness …

arxiv cs.cv cs.sy detection eess.sy electric evaluation object performance real-time type