Monocular Cyclist Detection with Convolutional Neural Networks

Cycling is an increasingly popular method of transportation for sustainability and health benefits. However, cyclists face growing risks, especially when encountering large vehicles on the road. This study aims to reduce the number of vehicle-cyclist collisions, which are often caused by poor driver attention to blind spots. To achieve this, we designed a state-of-the-art real-time monocular cyclist detection that can detect cyclists with object detection convolutional neural networks, such as EfficientDet Lite and SSD MobileNetV2. First, our proposed cyclist detection …

attention benefits blind convolutional neural networks cs.cv cs.ro cycling detection driver face health networks neural networks popular reduce risks study sustainability transportation vehicles