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ADAS features development involves 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. This paper will demonstrate an alternative way of developing prototype ADAS concept features by using remote control car with low cost hobby type of controllers, such as Arduino Due and Raspberry Pi. Camera and a one-beam type Lidar are implemented together with Raspberry Pi. OpenCV free open source software is also used for developing lane detection and object recognition. In this paper, we demonstrate that low cost frame work can be used for the high level concept algorithm architecture, development, and potential operation, as well as high level base testing of various features and functionalities. The developed RC vehicle can be used as a prototype of the early design phase as well as a functional safety testing bench.

The focus of this paper is the design and implementation of a series-parallel multiple-regime plug-in hybrid electric vehicle (PHEV) using a 2013 Chevrolet Malibu as a platform. The University of Victoria EcoCAR team used a 3-year vehicle development process (VDP) modeled after those used by Tier 1 automotive manufacturers, and maintained by the rules of EcoCAR 2: Plugging into the Future. Intensive research was conducted to determine the ideal architecture selection based on overall greenhouse gas (GHG) emissions, criteria air contaminant (CAC) emissions, fuel economy, petroleum use, and vehicle performance. As a result, a series-parallel design was pursued, using a high power rear traction motor and large BAS electric machine tied to an E85 compatible 4-cylinder internal combustion engine (ICE). This architecture platform provides for multiple regimes of operation including electric only operation provided by the 14.8 kWh lithium ion battery.