Project

There is a rapped trend in the automotive industry toward intelligent vehicles in intelligent traffic systems. Prominent universities are currently positioning themselves in this new era of automotive research. Research and development around self-­‐driving cars and interconnected mobility/transportation solutions have gained an increased attraction since the recent large international competitions in the USA (DARPA Grand Challenges 2004 & 2005, DARPA Urban Challenge 2007) as well as in Europe (Grand Cooperative Driving Challenge 2011, iGAME 2015/2016, ELROB). Recently, this technology was reported to be available for customers around 2020 [Hir13]. Several research groups worldwide have paired with important automotive OEMs to explore requirements, limitations, and opportunities for this technology. Furthermore, these well-­‐recognized groups currently work on the following important challenges to realize this technology: Semantic scene understanding and classification of 3D sensor; Scaling down the required sensor setup (i.e. further improving the processing of imaging data); Improving localization and maps; Assisted and automated system validation by incorporating automated simulations; Safety considerations and methods towards more reliable systems. The goal for the proposed project is to elaborate and evaluate the requirements, setup and use cases for CARLive. The CARLive platform will eventually include several experimental self-­‐driving vehicles exhibiting a standardized but extensible sensor and computing platform. CARLive gathers different disciplines like mechanical, electrical, and software engineering that collaboratively design, develop, operate and maintain the CARLive platform. To expose the results obtained during the development and operation of the CARLive platform and to increase the visibility of Chalmers and other partners in CarLive in the research community for self-­‐driving cars, prominent and challenging use cases shall be identified. The vehicles on the CarLive platform can also be the basis for related research, e.g. how to evolve urban mobility solutions for the interconnected society to address the research agenda from Horizon 2020 (H2020) for example.