Detection of Micromobility Vehicles in Urban Traffic Videos

arXiv:2402.18503v1 Announce Type: new
Abstract: Urban traffic environments present unique challenges for object detection, particularly with the increasing presence of micromobility vehicles like e-scooters and bikes. To address this object detection problem, this work introduces an adapted detection model that combines the accuracy and speed of single-frame object detection with the richer features offered by video object detection frameworks. This is done by applying aggregated feature maps from consecutive frames processed through motion flow to the YOLOX architecture. This fusion …

abstract accuracy arxiv bikes challenges cs.cv detection environments e-scooters micromobility speed traffic type urban vehicles videos work