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WILLWARN - Wireless Local Danger Warning - BMW video

Foresighted driving and early detection of hazards is a key for safe driving and accident avoidance. WILLWARN (Wireless Local Danger Warning) is developing a communication-based system that extends the driver's horizon and intelligently warns the driver of dangerous situations ahead. WILLWARN provides drivers the opportunity to adapt the vehicle speed and inter-vehicle distance early-on, leading to a higher situational awareness of potential unforeseen danger. Objectives The three-year WILLWARN subproject is developing, integrating and validating a safety application that warns the driver whenever a safety-related critical situation occuring beyond the driver's field of view. This includes the development of on-board hazard detection, in-car warning management, and decentralised warning distribution by vehicle-to-vehicle communication on a road network. Positioning, relevance checks, message transport, and on-board message evaluation will enable a low-cost and reliable solution for wireless local danger warnings. Key Concepts The key issues of WILLWARN include: - Improved safety through vehicle-to-vehicle and vehicle-to-infrastructure communication - High benefit for the user even at low equipment rates using cars as relays for transporting messages in a road network - Design of a basic system at low cost WILLWARN covers the following scenarios: - Detection and warning of obstacles on the road, warning if one's own car is an obstacle for others - Warning of emergency vehicles or slow vehicles Detection of reduced friction or reduced visibility through bad weather - Warning of dangerous spots such as construction zones through electronic beacons Consortium Partners DaimlerChrysler AG TNO Automotive BMW Forschung Und Technik GmbH Philips National Technical University of Athens CNRS- Ile De France Est HTW Forgis Contact information Gerhard Noecker WILLWARN Subproject Coordinator DaimlerChrysler AG gerhard.noecker@daimlerchrysler.com

Google Video | September 18, 2007Watch more videos from Google Video