Vehicle-related Distance Estimation Using Customised YOLOv7.pdf

IVCNZ-paper_16Nov2022.pdf
Preview of Vehicle-related distance estimation using customised YOLOv7
🔗 Source: cerv.aut.ac.nz
📊 Size: 438 KB
👤 Author: Xiaoxu Liu
⬇️ Downloads: 144

Summary

Researchers from Auckland University of Technology propose a customized YOLOv7 model for vehicle-related distance estimation, aiming to build a fast and robust model for autonomous driving. They employ the KITTI dataset for training and testing, achieving a root mean square error (RMSE) of 4.253. The study explores monocular camera-based ranging methods, comparing them to binocular camera-based methods, and discusses the advantages and limitations of each approach. The goal is to develop a high-precision, high-speed object detection and ranging system while keeping costs low.

Description

Researchers from Auckland University of Technology propose a customized YOLOv7 model for vehicle-related distance estimation, aiming to build a fast and robust...

Technical Information

  • File Format: PDF
  • File Size: 438 KB
  • Pages: 13
  • Language: EN
  • Author: Xiaoxu Liu
  • Total Downloads: 144
  • Last Updated: 1 month ago

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