The research of vehicle monocular ranging based on YOlOv5

Author:

Li Qing1,Huang Hongcheng1,Chu Pengzhi1

Affiliation:

1. School of Mechanical Engineering, Shanghai Jiao Tong University,Shanghai,China

Publisher

IEEE

Reference13 articles.

1. Keep your Eyes on the Lane: Real-time Attention-guided Lane Detection;tabelini;ArXiv Preprint,2020

2. You Only Look Once: Unified, Real-Time Object Detection

3. Towards End-to-End Lane Detection: an Instance Segmentation Approach

4. Study on laser range finders of plulse-phase type;zhu;Electronics Instrumentation Customer,2004

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1. Monocular visual obstacle avoidance method for autonomous vehicles based on YOLOv5 in multi lane scenes;Alexandria Engineering Journal;2024-12

2. A Monocular Ranging Method Based on YOLOv8 for UAV Formation;2024 4th International Conference on Computer, Control and Robotics (ICCCR);2024-04-19

3. Localizing Drones from Monocular Images using Modified YOLOv8;2024 7th International Conference on Advanced Algorithms and Control Engineering (ICAACE);2024-03-01

4. Vehicle Distance Measurement Method of Two-Way Two-Lane Roads Based on Monocular Vision;Applied Sciences;2023-03-08

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