Automated vehicles and ADAS hinge on the ability to fuse sensor data from LiDAR, radar, cameras and other modalities. This sensor-fusion task increasingly will be done using custom processing hardware – either FPGAs or ASICs. More custom chips are required to apply machine learning and AI to make decisions based on this sensor data. This whitepaper describes how to speed the design flow and tame the verification challenge using the High-Level Synthesis (HLS) methodology, which in select cases is vastly superior to hand-coded RTL.
High-Level Synthesis for Autonomous Drive
Abstract
What you get from this white paper
Benefits:
- Learn how to speed the design flow and tame the verification challenge using the High-Level Synthesis (HLS) methodology