Titlebook: Automotive Embedded Systems; Key Technologies, In M. Kathiresh,R. Neelaveni Book 2021 Springer Nature Switzerland AG 2021 Automotive Sensor

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Advanced Driver Assistance Systems (ADAS),inly 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 d

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Internet of Things and Artificial Intelligence-Enabled Secure Autonomous Vehicles for Smart Cities,hese challenges in smart cities with respect to autonomous vehicles and also offers real-time solutions to overcome these challenges. A comparative analysis of the existing algorithms is done, and the optimal algorithms that can help in implementation of the system with a user-friendly approach and

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R. Filgueira,T. Strohmeier,Ø. Strands well as significant properties of automobiles are safety and security. Vehicles need to be protected from accidental failures as well as premeditated attacks as they can easily lead to catastrophic consequences. This chapter discusses various radical and essential concepts pertaining to safety and

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https://doi.org/10.1057/9781137403940date autonomous systems is shrinking, whereas we can see a sudden increase in the processing speeds. Advanced driver assistance systems (ADAS) are readily used in buses that have amazing features such as pedestrian detection system, adaptive cruise control, collision avoidance, correction of lane, a

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Goodwill und Marketingstrategieinly 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 d

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