That Hot Rod Lincoln” — Commander Cody & His Lost Planet Airmen
In other words, you need an autonomous vehicle.
For the last 14 years, Perrone Robotics has focused on creating platforms that allow vehicle manufacturers to quickly integrate a variety of sensors and control algorithms into a self-driving vehicle. The company’s MAX (Mobile Autonomous X) is “comprehensive full-stack, modular, real-time capable, customizable, robotics software platform for autonomous (self-driving) vehicles and general purpose robotics.”
Sensors for autonomous vehicles include cameras, lidar, radar, ultrasound, and GPS. All of these sensors generate a lot of data—about 1Mbyte/sec for the Perrone test platform. Designers need to break up all of the processing required for these sensors into tasks that can be distributed to multiple processors and then fuse the processed sensor data (sensor fusion) to achieve real-time, deterministic performance. For the most demanding tasks, software-based processing won’t deliver sufficiently quick response.
Self-driving systems must make as many as 100 decisions/sec based on real-time sensor data. You never know what will come at you.
According to Perrone’s Chief Revenue Officer Dave Hofert, the Xilinx Zynq UltraScale+ MPSoC with its multiple ARM Cortex-A53 and -R5 processors and programmable logic can handle all of these critical tasks and provides a “solution that scales,” with enough processing power to bring in machine learning as well.
Here’s a brand new, 3-minute video with more detail and a lot of views showing a Perrone-equipped Lincoln driving very carefully all by itself: