ADAS features development involve multidisciplinary technical fields, as well as extensive variety of different sensors and actuators, therefore the early design process requires much more resources and time to collaborate and implement. In this paper, we demonstrate an alternative way of developing ADAS features by using RC car with low cost hobby type of controllers, such as Arduino Due and Raspberry Pi. Camera and one-beam type of Lidar are used together with Raspberry Pi. OpenCV free software is also used for developing lane detection and object recognition. In this paper, we demonstrate the high level concept algorithm architecture, development and potential operation as well as high level testing of various features and functionalities. The developed vehicle can be used as a prototype of the early design phase as well as functional safety testing bench. The paper will also discuss the feature development at the concept phase, as well as the potential future implementation into the real vehicle applications. Results of selected vehicle feature testing will be shared in this paper.