Over the past decade, autonomous vehicle technology has progressed at a rapid pace. Major automakers and technology companies have poured billions of dollars into research and development to create truly self-driving cars that can navigate roads without human assistance. While fully autonomous vehicles are still in the testing phase, several companies have begun rolling out advanced driver-assistance systems and semi-autonomous functions in new vehicles. The widespread adoption of self-driving cars is expected to significantly transform the automotive industry and transportation systems in the coming years.
Critical to enabling autonomous functionality are the computer chips and hardware that power the advanced computers and sensors in self-driving vehicles. Automotive chips must be capable of processing vast amounts of data from cameras, radar, lidar, and other sensors in real-time to navigate roads safely. As the technology progresses, the computing power and capabilities of Autonomous Vehicle Chips will need to keep advancing as well.
The Rise of AI Chips for Autonomous Driving
Most major autonomous vehicle development companies have turned to specialized AI processors and system-on-chips designed specifically for autonomous applications. General-purpose chips found in consumer devices are unable to meet the demanding performance and power efficiency requirements of self-driving systems. AI chips tailored for autonomous workloads can process neural networks and computer vision models much faster than general CPUs or GPUs. They also consume significantly less power, a critical factor for automotive applications.
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