The autonomous driving hardware can be divided into three parts according to their functions: perception, control, and execution. Perception devices include lidar, on-board cameras, millimeter-wave radar, ultrasonic radar, etc. Control devices include controllers for various execution algorithms, and cloud big data for technologies such as fuzzy inference, reinforcement learning, neural networks, and Bayesian networks. Actuation devices include brake turn signals, etc.
In the field of autonomous driving, safety is the premise. While algorithms and big data can improve the accuracy of decision making, the accuracy of the raw data input is even more important. Inaccurate data input from sensors may lead to failure of decision making, which is fatal to the whole system. These devices all work under complex conditions and require venting products to improve their working stability. For example, the sensitive millimeter wave radar needs to pass more than 1000 cycles of thermal shock tests or operate normally at high temperatures for more than 1200 hours. Similarly, for in-vehicle cameras, the fog dispersion and pressure equalization capabilities of the membrane should be taken into consideration, as well as special adjustments fitting vehicle’s casing design.
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