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The Concept of Fusion for Clear Vision of Hazy Roads in ADAS

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Internet of Vehicles and its Applications in Autonomous Driving

Part of the book series: Unmanned System Technologies ((UST))

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Abstract

Automatic Driver Assistance System (ADAS) is a concept to have an innovative automatic driver which is growing rapidly now-a-days. Even though an ADAS system is functioning automatically without the necessity of driver in presence, it is not considered as completely autonomous car. In some of the practical situations, it is more typical to handle few complications in driving. So, the latest technologies have not grown to the level of creating fully autonomous driving system. The ADAS is developed to avoid the road accidents due to human errors. There are various ADAS technologies developed so-far to provide driver safety and comfort.

Different control units are embedded in to the entire system for full control of the driving system. One of the control unit is Pedestrian Crash Avoidance Mitigation (PCAM). And one of the most difficult parts to assist the PCAM control unit is during the winter season when there is huge fog or haziness on the roads. So, an additional processing unit should be developed to get proper assistance to the ADAS system to avoid the crash during pedestrian crossing the road. For this purpose, a special imaging system should be introduced for better visualization of roads, nearby vehicles and people crossing the roads. Infrared imaging camera is additionally used with the normal camera system. So that the two images were processed with a concept of fusion, which combines the best properties of two images, and produce a clear vision of scene. This may improve the effective improvement in the PCAM control unit and enabling the autonomous cars to be driven successfully even in the heavy hazed areas without any crashes or accidents.

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Authors and Affiliations

  1. Department of Electronics & Communication Engineering, National Institute of Technology Silchar, Silchar, Assam, India

    M. Dhana Lakshmi Bhavani & R. Murugan

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  1. M. Dhana Lakshmi Bhavani
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  2. R. Murugan
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Editors and Affiliations

  1. Department of Electronics and Communication Engineering, Vaagdevi College of Engineering, Warangal, Telangana, India

    Nishu Gupta

  2. Department of Electronics and Communication Engineering, Motilal Nehru National Institute of Technology, Allahabad, Prayagraj, Uttar Pradesh, India

    Arun Prakash

  3. Department of Electronics and Communication Engineering, Motilal Nehru National Institute of Technology, Allahabad, Prayagraj, Uttar Pradesh, India

    Rajeev Tripathi

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Bhavani, M.D.L., Murugan, R. (2021). The Concept of Fusion for Clear Vision of Hazy Roads in ADAS. In: Gupta, N., Prakash, A., Tripathi, R. (eds) Internet of Vehicles and its Applications in Autonomous Driving. Unmanned System Technologies. Springer, Cham. https://doi.org/10.1007/978-3-030-46335-9_8

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  • DOI: https://doi.org/10.1007/978-3-030-46335-9_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-46334-2

  • Online ISBN: 978-3-030-46335-9

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