Mentor has just announced the DRS360 platform for developing autonomous driving systems based on the Xilinx Zynq UltraScale+ MPSoC. The automotive-grade DRS360 platform is already designed and tested for deployment in ISO 26262 ASIL D-compliant systems.
This platform offers comprehensive sensor-fusion capabilities for multiple cameras, radar, LIDAR, and other sensors while offering “dramatic improvements in latency reduction, sensing accuracy and overall system efficiency required for SAE Level 5 autonomous vehicles.” In particular, the DRS360 platform’s use of the Zynq UltraScale+ MPSoC permits the use of “raw data sensors,” thus avoiding the power, cost, and size penalties of microcontrollers and the added latency of local processing at the sensor nodes.
Eliminating pre-processing microcontrollers from all system sensor nodes brings many advantages to the autonomous-driving system design including improved real-time performance, significant reductions in system cost and complexity, and access to all of the captured sensor data for a maximum-resolution, unfiltered model of the vehicle’s environment and driving conditions.
Rather than try to scale lower levels of ADAS up, Mentor’s DRS360 platform is optimized for Level 5 autonomous driving, and it’s engineered to easily scale down to Levels 4, 3 and even 2. This approach makes it far easier to develop systems at the appropriate level for the system you’re developing because the DRS360 platform is already designed to handle the most complex tasks from the beginning.
via Xcell Daily Blog articles http://ift.tt/2fBJIws
April 4, 2017 at 08:12PM