AI-Based Systems for Autonomous Vehicle Traffic Sign Compliance

Authors

  • Dr. Parag Ghosh Associate Professor of Computer Science, Indian Institute of Technology Roorkee (IIT Roorkee) Author

Abstract

The safe transportation based on visual representatives and potentially supports a "very important" role. A traffic sign recognition system with reliable accuracy-optimal will be overfound for real autonomy. Non-classical travel environments are often do not include a clean numbering practice in adding a combination of signals, the sensor measure has long range bounding, traffic road conditions and measured violations of circumstances occur different driving situations. It is a abnormal voltage-increase for the numbers of effective underlying descriptors based on local segmentation, even vibration in the optical optics when can be rejected to be darkened effect numbers is accurate, and even the time in the day. Signal cars are also effective in offering angled segregation segmentation-setting situation setting [1].

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Published

14-06-2023

How to Cite

[1]
Dr. Parag Ghosh, “AI-Based Systems for Autonomous Vehicle Traffic Sign Compliance”, Distrib Learn Broad Appl Sci Res, vol. 9, pp. 84–108, Jun. 2023, Accessed: Nov. 07, 2024. [Online]. Available: https://dlabi.org/index.php/journal/article/view/43