In outdoor robotic context, notion of perception and localization is essential for an autonomous navigation of a mobile robot. The objectives of this PhD are multiple and tend to develop a simultaneous localization and mapping approach in a dynamic outdoor environment with detection and tracking of moving objects (SLAMMOT) with a unique exteroceptive radar sensor in real driving conditions, around 30 km/h. At such high speed, data obtained with a rotating range sensor are corrupted by the own vehicle displacement. This distortion, usually considered as a disturbance, is analyzed here as a source of information. This study explores radar frequency modulated continuous wave (FMCW) technology potential for mobile robotics in extended outdoor environment. In this work, we propose : – a distortion correction on-the-fly with proprioceptive sensors in order to realize a localization and mapping application (SLAM), – a line based SLAM evaluation method, – a consideration of distortion in a proprioceptive purpose for localization and mapping, – an odometry principle based on Doppler velocimetry provided by radar sensor, – a detection and tracking of mobile objects : DATMO, with a unique radar sensor.
