Mikael Kais

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Localization with respect to a reference model is a key feature for mobile robots. Urban environment offers numerous landmarks that can be used for the localization process. This paper deals with the use of an environment model stored in a Geographic Information System, to drive a vision system i.e. highlights what to look for ? and where to look for ? This(More)
In France, about 33% of roads victims are VRU. In its 3rd framework, the French PREDIT 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(More)
Localization is a key functionality for advance driving assistance systems (ADAS) as well as for vehicle-vehicle or vehicle-infrastructure cooperation. Indeed, depending on the accuracy and integrity of the localization process, applications such as driver information, driver assistance or even fully autonomous driving can be performed. This paper presents(More)
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(More)
In the framework of a joint initiative of several French laboratories that investigate land navigation, the authors have designed an architecture and tests protocol for benchmarking altogether data fusion methods applied on a collection of sensors covering the complete range of quality. Special attention has been given to sensors data timestamping since the(More)
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