Advanced driver assistance systems (ADAS) refer to technologies that automate, facilitate, and improve systems in the vehicles in order to assist drivers for better and safer driving. There are several ADAS technologies such as adaptive cruise control (ACC), lane departure warning systems, forward collision warning systems, traffic signal recognition system (TSR), tire pressure monitoring system (TMPS), night vision, pedestrian detection, parking assistance systems, automatic emergency brake systems, driver behavior monitoring, blind spot detection, electronic stability control (ESC), alcohol interlock systems, etc. Some of the ADAS technologies are intended for safety improvement, and some others are for convenience function. This chapter explains each of the different ADAS technology in detail with their deployment details. The development and deployment of these technologies relies mainly on the embedded systems and advanced signal processing technologies such as multiple signal classification (MUSIC) and light detection and ranging (LiDAR).

    The main focus of the ADAS technologies is to contribute to the factors such as safety management and stress-free automated driving for a driver. In order to enable these ADAS technologies, a suite of sensors is essential. There are different types of sensors being used similarly, i.e., vision sensors, LiDAR sensors, RADAR sensors, ultrasonic sensors, and other technologies such as photonic mixer device (PMD) and global positioning sensor (GPS). The vision-based sensors take the decisions based on the images acquired. The images acquired are pre-processed for the image processing and segmented to find various features in the image. The segmented images are used for identification and classification based on various machine learning algorithms and neural networks. Another concept to be discussed is regarding the NEXT-GEN ADAS, where the sensor suite together is used with advanced communication technologies such as vehicle-to-everything (V2X) communication. In other words, ADAS is a pathway and major contribution towards autonomous driving. There are several challenges that need to be addressed associated with ADAS technologies related to changing environmental conditions, resource-constrained systems, and security and geospatial constraints. This chapter will be covering the description regarding the above topics with detailed diagrams and descriptions.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Advanced Driver Assistance Systems (ADAS)


    Additional title:

    EAI/Springer Innovations in Communication and Computing


    Contributors:


    Publication date :

    2021-04-25


    Size :

    17 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




    Advanced Driver Assistance Systems (ADAS)

    Dimitrakopoulos, George | Springer Verlag | 2016


    ADAS APPARATUS FOR ADVANCED DRIVER ASSISTANCE SYSTEMS

    KIM EUNG JU | European Patent Office | 2020

    Free access

    COMBINING DRIVER ALERTNESS WITH ADVANCED DRIVER ASSISTANCE SYSTEMS (ADAS)

    HANNA KEITH J | European Patent Office | 2020

    Free access

    Combining Driver Alertness With Advanced Driver Assistance Systems (ADAS)

    HANNA KEITH J | European Patent Office | 2019

    Free access

    Combining Driver Alertness With Advanced Driver Assistance Systems (ADAS)

    HANNA KEITH J | European Patent Office | 2018

    Free access