High integrity localization system is an important challenge to improve safety for road vehicles. A way to meet the requirements is to fuse information from several sensors, from position and orientation sensors to motion, speed and acceleration sensors. This paper tackles the problem of vehicle motion estimation using monocular vision. A geometric model of the road is used to learn a texture p...

Vehicular networks have attracted significant attention in the context of traffic control and management applications. However, vehicular networks also have important applications in crime prevention and criminal investigations. This paper presents a system for passively tracking a target vehicle whose driver is assumed to be a “person of interest.” The tracking system relies on the dynamic rec...

This article discusses a pedestrian detector for an experimental vehicle, based on visual information from a single far infrared camera. The system considers three consecutive processes for each image. Once the candidates’ heads have been extracted, regions of interest are resized based on the distance to the camera and then filtered by its vertical edges symmetry. Once the bounding boxes of po...

We describe a novel inertial navigation system based on measurement fusion which includes stereo-vision among its sensors. The vision-augmented system provides enhanced accuracy in the estimation of the vehicle states when flying in proximity of obstacles, and can operate without GPS signal, for example when flying under vegetation cover, indoors or in complex urban environments. Scene feature ...

This article presents a new feature extraction technique based on the temporal tracking of clusters in spectro-temporal features space. In the proposed method, auditory cortical outputs were clustered. The attributes of speech clusters were extracted as secondary features. However, the shape and position of speech clusters change during the time. The clusters temporally tracked and temporal tra...