Vehicle Detection and Distance Estimation Using Improved YOLOv7 Model
Xiaoxu Liu, Wei Qi Yan · Advances in computational intelligence and robotics book series · 2024
In this book chapter, the authors propose a low-cost distance estimation approach to develop more accurate predictions from a 3D perspective for vehicle detection and ranging by using inexpensive monocular cameras. This distance estimation model integrates YOLOv7 model with an attention module (CBAM) and transformer, as well as extend the prediction vector as the fundamental architecture to improved high-level semantic understanding and enhanced feature extraction ability. This integration significantly improved detection and ranging performance, offering a more suitable and cost-effective solution for distance estimation.