Key Hardware Design Considerations for Autonomous Vehicles

Building on the previous discussion of autonomous driving architecture, the article treats vehicle hardware as the "skeleton, muscles, and organs" of a self‑driving car, emphasizing the need for diverse functions and high adaptability.

It first stresses aesthetics, noting that appealing designs like Waymo’s improve public acceptance, while trucks prioritize function over looks.

The piece then explores vision requirements, advocating for 360° sensor coverage to eliminate blind spots, using multiple LiDAR units and strategic placement to extend both horizontal and longitudinal range, and discusses how weather conditions (fog, rain, lighting, snow) affect different sensors.

Performance considerations follow, highlighting the desire for high computational power with low energy consumption, the limits of Moore’s law, and the potential of specialized chips such as TPUs, FPGAs, or ASICs for sensor‑fusion algorithms.

Power consumption impacts vehicle range and cooling needs; water‑cooling with antifreeze is described as a solution to thermal challenges.

Adaptability is examined through environmental stresses—vibration, extreme temperatures, humidity, salt corrosion, and electromagnetic interference—each posing reliability issues for electronic components in mass‑produced autonomous cars.

Finally, innovative control concepts are presented, such as Zoox’s direction‑free chassis that can steer both front and rear wheels, enabling effortless parking and on‑spot turning, and the article concludes by questioning whether a perfect hardware suite—stylish exterior, wide vision, flawless control, strong performance, low power, and robust adaptability—has been achieved.