FPGAs provide computational platforms for high performance and energy efficient implementation of algorithms in embedded systems. Advanced driver assistance systems (ADAS) have become an essential part of modern cars to improve the safety and reduce the accidents. It helps automating functions such as lane deviation avoidance, vehicle and pedestrian detection, etc. The aim of this research is to implement algorithms used for lane detection and vehicle detection using OpenCL for FPGA implementation.
The outcomes of this project are:
(a) Investigating dynamic power estimation of FPGA based embedded systems considering HW/SW co-design of the system.
(b) Implementing the required image processor algorithms for …
(c) Design optimisation to reduce the system power/energy consumption
(d) Investigate the effectiveness of OpenCL to target FPGA implementation for this application (This is an optional extra task).
Prerequisite: COMPSYS 305 and COMPSYS 304
Co-requisite: COMPSYS 701
(It will be useful to take COMPSYS 701 as that may provided additional background knowledge for this project).
Lab allocations have not been finalised