Analysis on the Two Core Technologies of Current Intelligent Driving
DOI:
https://doi.org/10.54097/bp4xd537Keywords:
Recognition, machine vision, image processing, Beidou positioning.Abstract
With the development of the automobile industry, intelligent driving will become the mainstream, it is an important embodiment of China's development, at the same time, it is also an important embodiment of the liberation of automobile productivity, which marks a major reform in the automobile industry. Intelligent driving this advanced technology in the vehicle identification technology and image processing technology will pass the road condition to the driving computer, positioning technology lists the vehicle position, speed and other information, the two complement each other, and promote the safe operation of the vehicle. This paper will analyze the core elements of intelligent driving from the two aspects of vehicle identification technology and positioning technology, and scientifically present the advanced, convenient, safe and reliable features of intelligent driving.
Downloads
References
[1] ZHAO Z Y, YANG X X, ZHOU Y C H, et al. Real-time detection of particleboard surface defects based on improved YOLOV5 target detection [J]. Scientific Reports, 2021, 11(1): 1-15. DOI: https://doi.org/10.1038/s41598-021-01084-x
[2] Ingemar J. Cox, Blanche-An Experiment in Guidance and Navigation of an Autonomous Robot Vehicle, IEEE Transactions on Robotics and Automation, Vol. 7, NO. 2, pp. 193-204, April, 1991 DOI: https://doi.org/10.1109/70.75902
[3] A. Curran, K. J. Kyriakopoulos, Sensor-Based Self-Localization for Wheeled Mobile 71 Robots, Proceedings of International Conference on Robotics & Automation, pp. 8-13, 1993 DOI: https://doi.org/10.1109/ROBOT.1993.291954
[4] Ulf Larsson, Johan Forsberg, Ake Wernersson, On Robot Navigation Using Identical Landmarks: Integrating Measurements from a Time-of-Flight Laser, Proceedings of International Conference on Multi-sensor Fusion for Intelligent Systems, pp. 17- 26, 1994 DOI: https://doi.org/10.1109/MFI.1994.398477
[5] John J. Leonard, Hugh F. Durrant Whyte, Mobile Robot Localization by Tracking Geometric Beacons, IEEE Transaction on Robotics & Automation, Vol. 7, pp. 376-382, 1991 DOI: https://doi.org/10.1109/70.88147
[6] R. Madhavan, G. Dissanayake, H. Durrant-Whyte, Map-Building and Map- Based Localization in an Underground-mine by Statistical Pattern Matching, Proceedings of International Conference on Pattern Recognition, pp. 1744-1746, 1998 DOI: https://doi.org/10.1109/ICPR.1998.712063
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Highlights in Science, Engineering and Technology

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







