Review on Cars and Pedestrian Detection

Authors

  • Akshay D. Deshmukh Student, Department of Computer Science and Engineering, Govindrao Wanjari College of Engineering and Technology, Nagpur, India
  • Sanchit Gupta Student, Department of Computer Science and Engineering, Govindrao Wanjari College of Engineering and Technology, Nagpur, India
  • Ambalika Donge Student, Department of Computer Science and Engineering, Govindrao Wanjari College of Engineering and Technology, Nagpur, India
  • Piyush Katolkar Student, Department of Computer Science and Engineering, Govindrao Wanjari College of Engineering and Technology, Nagpur, India
  • Abhishek Tipre Student, Department of Computer Science and Engineering, Govindrao Wanjari College of Engineering and Technology, Nagpur, India
  • Rakesh A. Bairagi Assistant Professor, Department of Computer Science and Engineering, Govindrao Wanjari College of Engineering and Technology, Nagpur, India

Keywords:

OpenCV, machine learning, python, pedestrian detection, vehicle detection, computer vision

Abstract

Electronic systems that can identify pedestrians in front of a vehicle and forecast vehicle-to-pedestrian collisions must be specified, implemented, and evaluated. Vehicle-to-pedestrian collisions were categorised into eleven different scenarios in this study. The key features of vehicle-to-pedestrian collisions have been established. The statistical behaviours of the various systems involved were modelled (vehicle, pedestrian, environment, and advanced driver assistance gadgets). Then, for crucial automobile and pedestrian road conditions, Monte-Carlo simulations were run. The created simulation tool enables the evaluation and validation of possible innovative systems' performance. Intelligent video surveillance, intelligent transportation, automotive autonomous driving, and driver-assistance systems all use cars and pedestrian detection. For the implementation of automobiles and pedestrian detection in a video segment, we chose OpenCV as the programming tool. This programme will be written in Python and will make use of OpenCV.

Downloads

Download data is not yet available.

Downloads

Published

06-07-2021

Issue

Vol. 2 No. 6 (2021)

Section

Articles

License

Copyright (c) 2021 Akshay D. Deshmukh, Sanchit Gupta, Ambalika Donge, Piyush Katolkar, Abhishek Tipre, Rakesh A. Bairagi

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
A. D. Deshmukh, S. Gupta, A. Donge, P. Katolkar, A. Tipre, and R. A. Bairagi, “Review on Cars and Pedestrian Detection”, IJRAMT, vol. 2, no. 6, pp. 297–300, Jul. 2021, Accessed: Dec. 22, 2024. [Online]. Available: https://journals.ijramt.com/index.php/ijramt/article/view/956