ADAS supports drivers with the required tools and augments to properly decide while driving the car. It can safely control the car either by providing relevant information around the car to the driver, or by taking control of the vehicle movement, partially or completely. The purpose of this study is to develop an ADAS Data Acquisition Engine based on heterogenous platform that utilises SoC and FPGA platforms. Furthermore, the design methodology of heterogenous SoC-FPGA platform is developed to reduce design complexity of heterogenous design flow. Furthermore, it unifies the hardware and software design flows to reduce design cycle time required for development. The proposed system was verified indoor to confirm system functionality. After that, the proposed system was implemented on car for real-time system validation and testing. The system was able to interact with LiDAR sensor, four ultrasonic sensors, and Inertial Movement Unit (IMU) sensors. The LiDAR and ultrasonic we.....

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