Adaptability Survey and Analysis of Camera Monitoring Systems (CMS) on Various Driving Population for Passenger Vehicles in Indian Driving Scenario

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Authors: Ankit Sinha, Sonali Ameya Tambolkar, Shamsundara Belavadi Venkataramaiah, Maximilian Kauffmann
Cited by: 0

Abstract

This paper presents a comprehensive survey and data collection study on the adaptability of Camera Monitoring Systems (CMS) for passenger vehicles. With the growing demand for enhanced safety, automation, and driver assistance technologies, Camera Monitoring Systems (CMS) has emerged as a key component in modern automotive design. This study aims to explore the current state of camera-based monitoring in passenger vehicles, focusing on their adaptability through survey data collection of various driving population and analysis. This paper evaluates the acceptance of CMS configurations in replacement to conventional rear-view mirrors through Position of Monitor, Clarity, CMS Adaptiveness to eyes, Comfort while turning, Merging into moving traffic, Monitoring Rear Traffic, while Getting Out of Car, while Overtaking, Coverage Area and Overall Acceptance. The findings offer valuable insights for manufacturers, engineers, and researchers working toward the evolution of intelligent vehicle systems.

Fields of Study & Subjects

Human-Automation Interaction and Safety Autonomous Vehicle Technology and Safety Traffic and Road Safety

Publication details

Journal / source
SAE technical papers on CD-ROM/SAE technical paper series
Volume
1
Publication date
16 January 2026