COPPLAR CampusShuttle cooperativ perception & planneringsplatform
|Coordinator||CHALMERS TEKNISKA HÖGSKOLA AKTIEBOLAG - Institutionen för signaler och system|
|Funding from Vinnova||SEK 19 944 000|
|Project duration||January 2016 - June 2019|
|Venture||Traffic safety and automated vehicles -FFI|
Purpose and goal
The purpose is to take the first steps in our vision of a cooperative self-driving vehicle that can handle challenging city traffic and changing weather conditions. The focus is on using cooperation between vehicles to safely navigate complex inner-city scenarios. In this project we will build prototype vehicles (research platforms) capable of handling the most prioritized scenarios and demonstrate cooperative self-driving in a controlled environment at the AstaZero test track.
Expected results and effects
Our expected main project results: (1) using Chalmers´ ReVeRe lab to develop a prototypical and extensible vehicle platform exhibiting self-driving capabilities on AstaZero test track, (2) establishing the necessary software and system infrastructure on-board and at backend to collect, analyse, and process the big data streams (3) incorporating algorithms for scene perception and understanding for complex traffic situations, (4) to reliably plan cooperative and collision-free trajectories.
Planned approach and implementation
We will start with identifying and prioritizing the relevant traffic situations that need to be addressed. The most prioritized scenarios will consecutively be realized and demonstrated under controlled conditions at AstaZero proving ground. We foresee an iterative process of prototype build, data collection, algorithm development and verification with tight cooperation between the core teams working on situation awareness, cooperative path and control, wireless communication and software architecture and tools.