In France, about 33% of roads victims are VRU 1 . In its 3 rd framework, the french PREDIT 2 includes VRU Safety. The PUVAME project was created to generate solutions to avoid collisions between VRU and Bus in urban traffic. An important part of these collisions take place at intersection or bus stop. In this paper, we detail the hardware and software architecture designed and developped in the project. This solution is based on offboard cameras observing particular places (intersection and bus stop in our case) to detect and track VRU present in the environment. The position of the bus is also computed and a risk of collision between each VRU and the bus is determined. In case of high risk of collision, the bus driver is warned. The HMI to warn the bus driver is also described. Finally, some experimental results are presented.

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This paper tackles the problem of precise car localization for Advance Driver Assistance System applications. Localization is performed by loosely coupling proprioceptive data with exteroceptive perceptions. Two localization systems were designed, one based on Differential GPS and the other on Real Time Kinematic GPS. In both cases, sensor latencies were precisely measured and taken into account to minimize their effects. Track experimentations were carried out with two vehicles at different speeds. A methodoly bTed on a comparison with a Post-Processed Kinematic GPS reference is presented to evaluate performances of the two systems. t 0-7803-8961-

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