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Disruption Battle for the Autonomous Vehicle: A CES 2016 Story
January 22, 2016 | Yole DéveloppementEstimated reading time: 2 minutes
There are two different sensor-related strategies in AD. Almost all automotive sensor technologies are racing toward maturity, except Lidar, which is attracting large investments to accelerate its development. Yole’s research lays bare the technical choices made by traditional companies and newcomers related to the two main strategies among ultrasonic sensors, short-range or long-range radar, Lidar, dead reckoning sensors and data management.
The real bottleneck is currently in the upper layer of the system, namely embedded data processing and management. These functions are still under construction, with emerging players like MobilEye, and Nvidia providing advanced electronic control units (ECUs) that are challenging established players like Toshiba or Infineon.
The real bottleneck is currently in the upper layer of the system, namely embedded data processing and management. These functions are still under construction, with emerging players like MobilEye, and Nvidia providing advanced electronic control units (ECUs) that are challenging established players like Toshiba or Infineon.
- Everywhere/Partial AD is an incremental sensing approach embraced by traditional manufacturers. It relies on high sensitivity sensors combined with low-resolution maps, and then improves map quality using the sensors embedded on each vehicle. This solution allows partial automation in every situation as a ‘first step’.
- Somewhere/Full AD is exploited by Google and Baidu, based on 3D localized maps with high levels of detail, down to centimeter accuracy. The maps are combined with fewer sensors than Everywhere/Partial AD, often using Lidar. This solution allows full automation in specific environments and will work very rapidly, however it requires hard work to keep the maps updated.
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