Advanced Driver Assistance Systems (ADAS) have revolutionized automotive safety, providing drivers with a range of features that enhance their ability to navigate roads safely and efficiently. ADAS features are classified into five levels, from providing basic warnings and assistance (Level 1) to fully autonomous driving (Level 5). Machine learning plays a crucial role in optimizing vehicle performance and improving fuel efficiency, enabling dynamic adjustments based on real-time data. While ADAS offers significant benefits, it is essential for drivers to remain vigilant and attentive, ready to take control at any moment. Careful selection and responsible use of ADAS features are paramount to maximizing their advantages and ensuring safe driving practices. With continuous advancements in artificial intelligence and integration with other vehicle systems, ADAS is poised to transform the future of mobility, paving the way for safer, more efficient, and enjoyable driving experiences. The functions of ADAS are still in the developing stage. This paper provides a comprehensive overview of Advanced Driver Assistance Systems (ADAS), highlighting their role in enhancing automotive safety and driving efficiency.
Comparative Analysis of Advanced Driver Assistance Systems (ADAS) in Automobiles
Lect. Notes Electrical Eng.
International Conference on Emerging Electronics and Automation ; 2023 ; Silchar, India December 15, 2023 - December 17, 2023
2025-02-06
16 pages
Article/Chapter (Book)
Electronic Resource
English
Advanced driver assistance system (ADAS) , Adaptive cruise control , Lane-keeping assistance , Blind spot monitoring , Autonomous emergency braking , Forward collision warning , Parking assistance , Machine learning Engineering , Control, Robotics, Mechatronics , Robotics , Computer Communication Networks , Signal, Image and Speech Processing
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