A Survey of Available Techniques for Identification of Objects on the Road and Calculating Distance from DashCam
Keywords:
Object Detection, Object Identification and Tracking, Dash Cam.Abstract
The rapid advancement of AI is driving continuous innovation in the area of computer vision. Object detection and object tracking are innovative technologies that enhance safety and improve company efficiency. Object identification and tracking play a crucial role in preventing hazardous situations on the roadways, recognizing traffic signals and cars, and performing several other tasks. There are other methods to implement object recognition and tracking, which we will discuss below. This article provides a comprehensive analysis of the distinctions between object detection and object tracking.
References
- V. Kesten, R. and Usman, M. and Houston, J. and Pandya, T. and Nadhamuni, K. and Ferreira, A. and Yuan, M. and Low, B. and Jain, A. and Ondruska, P. and Omari, S. and Shah, S. and Kulkarni, A. and Kazakova, A. and Tao, C. and Platinsky, L. and Jiang, W. and. Lyft Level 5 Dataset. https://level5.lyft.com/dataset/, 2019.
- M. Khader and S. Cherian. An Introduction to Automotive LIDAR (Texas Instruments). Technical report, 2018.
- H. Khan, A. Rafaqat, A. Hassan, A. Ali, W. Kazmi, and A. Zaheer. Lane detection using lane boundary marker network under road geometry constraints. In IEEE Winter Conference on Applications of Computer Vision, Snowmass, Co). IEEE, 2020.
- I. Slimani, A. Zaarane, A. Hamdoun, Atouf I. April, Vehicle License Plate Localization and Recognition System for Intelligent Transportation Applications, IEEE (2019), pp. 1592-1597.
- W. Al, A. Zaarane, I. Slimani, I. Atouf, M. Benrabh, Vehicular queue length measurement based on edge detection and vehicle feature extraction, J Theor Appl Inf Technol, 97 (5) (2019).
- Martinez, F., Jacinto, E., Martinez, F.: Obstacle detection for autonomous systems using stereoscopic images and bacterial behaviour. Int. J. Energy Clean Environ. 10(2), 2164–2172 (2020).
- Hu, Y., et al.: A new microscopic telecentric stereo vision system - calibration, rectification, and three-dimensional reconstruction. Opt Laser. Eng. 113, 14–22 (2019).
- Tian, X., et al.: High quality 3D reconstruction based on fusion of polarisation imaging and binocular stereo vision. Inf. Fusion. 77, 19–28 (2022).
- Wu, X., et al.: Simultaneous localisation and mapping of medical burn areas based on binocular vision and capsule networks. Soft Comput. 24(23), 18155–18171 (2020).
- Romero, C., et al.: A validation strategy for a target-based vision tracking system with an industrial robot. J. Phys. Conf. Ser. 1547, 012–018 (2020).
- Huang, L., et al.: Obstacle distance measurement based on binocular vision for high-voltage transmission lines using a cable inspection robot. Sci. Prog. 103(3), 1–35 (2020).
- Munoz, D.F.T., Prieto, F., Correa, A.C.: Power lines detection from a stereo vision system. In: 2020 5th International Conference on Control and Robotics Engineering (ICCRE), pp. 242–245. Osaka (2020).
- Sun, X., et al.: Distance measurement system based on binocular stereo vision. IOP Conf. Ser. Earth Environ. Sci. 252(5), 052051 (2019).
- Emani, S., et al.: Obstacle detection and distance estimation for autonomous electric vehicle using stereo vision and DNN. In: J. Wang, et al. (eds), Soft Computing and Signal Processing, vol. 898, pp. 639–648. Springer Singapore, Singapore (2019).
Downloads
Published
2024-02-29
Issue
Section
Research Articles
License
Copyright (c) IJSRST
This work is licensed under a Creative Commons Attribution 4.0 International License.
How to Cite
[1]
Shreya Jaiswal, Sonam Singh "A Survey of Available Techniques for Identification of Objects on the Road and Calculating Distance from DashCam" International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011,Volume 11, Issue 1, pp.636-644, January-February-2024.