Engineering Challenges for Viable Autonomous Vehicles

Six disciplines that need to be integrated to develop the next generation of cars and trucks.


The rise of autonomous and electric vehicles brings with it a host of engineering implications, including an increase in the number and variety of sensors in the vehicle, increasing software and hardware complexity, massive validation and verification cycles, heightened safety and security requirements, and new demands for digital data continuity. This paper is an overview of how six interdisciplinary and intersecting technical domain subsystems must come together in an integrated way to optimize a solution for the entire vehicle.

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