Kick off meeting Integrated Cooperative Automated Vehicles (i-CAVE)
- Wednesday, 14 June 2017
On June 6 and 7, 2017 the two days kick off meeting of the i-Cave project took place at the TU Eindhoven.
This NWO research program addresses current transportation challenges regarding throughput and safety with an integrated approach to automated and cooperative driving. In i-CAVE, a cooperative dual mode automated transport system is researched and designed, consisting of dual mode vehicles which can be driven automatically and manually to allow maximum flexibility. The program integrates technological roadmaps for automated and cooperative driving, accelerating the development of novel transportation systems addressing today's and future mobility demands.
Quick Facts of iCAVE
Number of Participating Organizations = 5
- Eindhoven University of Technology, Eindhoven
- University of Twente, Enschede
- Delft University of Technology, Delft
- University of Amsterdam
- Radboud University, Nijmegen
- System control integration
- Dynamic fleet management
- Human factors
- Functional safety
- Living-lab evaluation
Prof. DSc. Alexander Yarovoy, Dr. Faruk Uysal and PhD. candidate Nannan Chen, conduct research under the Communication research line of i-CAVE project in close collaboration with Information and Communication Theory (ICT) Lab of Eindhoven University of Technology (TU/e). The research of group aims to implement RADAR-based communication, allowing advanced driver assistance systems to be used as both sensors and communication devices, realizing a more robust and synergetic approach to sensing and communication for safe high-speed automated and cooperative driving. To address interaction capabilities between vehicles and environment, we focus on radar processing methods with signals that allow for communication functionality. MS3 is highly cooperating with NXP on this.
Other Participants from TU Delft:
In addition to the MS3 group in EWI, Rudy Negenborn and Gabriel Lodewijks of the department of Maritime and Transportation Technology in the faculty 3mE will be conducting extensive research into dynamic fleet management of groups of automated vehicles.
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