Adas on Cots with OpenCL: A Case Study with Lane Detection

The concept of autonomous cars is driving a boost for car electronics and the size of automotive semiconductor market is foreseen to double by 2025. How to benefit from this boost is an interesting question. This article presents a case study to test the feasibility of using OpenCL as the programming language and COTS components as the underlying platforms for ADAS development. For representative ADAS applications, a scalable lane detection is developed that can tune the trade-off between detection accuracy and speed. Our OpenCL implementation is tested on 14 video streams from different data-sets with different road scenarios on 5 COTS platforms. We demonstrate that the COTS platforms can provide more than sufficient computing power for lane detection in the meanwhile our OpenCL implementation can exploit the massive parallelism provided by the COTS platforms.