AI-based Solutions for ADAS

S Shruti, M Shravya, Spurthi Mohan, YOUSIF SUHAIL, Radha R. C · 2022 6th International Conference on Intelligent Computing and Control Systems (ICICCS) · 2022

In today's time, the Advanced Driver Assistance System (ADAS) has become indispensable to top car manufacturers. With the constant evolution of vehicle safety systems, automobile manufacturers and consumers can envision a world where vehicle collisions are a thing of the past. Object detection is a crucial part of ADAS for pedestrian and vehicle detection, and for enabling various functions like automatic emergency braking, blind spot monitoring and so on. This paper aims to develop a You Only Look Once version 4 (YOLOv4)-based object detection model. This model is trained on our custom dataset which has ten object classes that one would find on Indian roads.

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