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Object Detection for ADAS System Development – An Indian Perspective
F2018/F2018-APS-101

Authors

Sudarshan B V
Tata Motors Ltd., India

Shakeel Abdulla, Atul Date, Pratyush Khare

Abstract

Advanced Driver Assist Systems (ADAS) have begun to attract focus in the automotive market to assist and complement the drivers to develop safe driving practices. Features such as Forward Collision Warning (FCW) and Lane Departure Warning (LDW) are being developed to avoid or mitigate accidents. These technologies require a very good object detection capability of all the road users and lane edges/markings both during the day and night driving conditions. The presence of undisciplined multiple road users and absence of proper road infrastructure poses some additional challenges that are unique to the Indian scenario. A single sensor system, which can fulfill all the detection requirements, and overcome the challenges posed by the Indian traffic conditions, will be highly beneficial due to system commonality and cost. The objective of present study was to investigate the applicability of the single vision sensor system and the effectiveness of Near-Infrared (NIR) illumination in object detection for Forward Collision Warning (FCW) System and lane edge and lane markings detection for Lane Departure Warning (LDW) systems.

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