International Journal For Multidisciplinary Research
E-ISSN: 2582-2160
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A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
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Volume 8 Issue 2
March-April 2026
Indexing Partners
Evolution of Advanced Driver Assistance Systems in Smart Mobility: A Comprehensive Review
| Author(s) | Mr. Vikash Kumar Gupta, Dr. Saket Yeolekar |
|---|---|
| Country | India |
| Abstract | The swift development of smart mobility has placed Advanced Driver Assistance Systems (ADAS) as a strategic technology that has the potential of enhancing road safety, traffic efficiency and environmental sustainability. The current ADAS has evolved beyond single driver warning systems as multi modal sensing, sophisticated control algorithms, power electronic actuation and vehicular communication capabilities have been incorporated into the system. In this review, a thorough and systematic discussion on the development of ADAS is presented in terms of interdependence of sensing technologies, control structures and power electronic integration in connected and intelligent transportation systems. The most important sensing modalities are analyzed, such as vision, radar, LiDAR, ultrasonic and inertial sensors, which are of great importance and sensor fusion strategies that promote the perception robustness in the real world. The review also compares classical, model based and AI driven control methods, their usability, limitations and safety of such approaches in partially automated driving. Architectures and layouts used to support ADAS regarding voltage domains, actuation systems, energy efficiency, thermal management are discussed. Besides, the paper examines communication models, safety measures and cybersecurity issues, regulatory trends and ethical dilemma related to partial automation. The new trends of AI driven perception, solid state sensing, integration with electric and autonomous vehicles and the contribution of ADAS to sustainable smart cities are discussed. Lastly, the review can be used to reveal essential research gaps in terms of system level co-design, practical validation and affordability that can be used to inform future research and industrial acceptance of ADAS in smart mobility ecosystems. |
| Keywords | Advanced Driver Assistance Systems (ADAS); Smart Mobility; Intelligent Transportation Systems; Sensor Fusion; Vehicle Control Architectures; Power Electronics; Connected Vehicles; Automotive Safety; Autonomous Driving; Sustainable Transportation |
| Field | Engineering |
| Published In | Volume 8, Issue 2, March-April 2026 |
| Published On | 2026-04-06 |
| DOI | https://doi.org/10.36948/ijfmr.2026.v08i02.72713 |
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E-ISSN 2582-2160
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