Grid-centric perception is a crucial field for mobile robot perception and navigation.
Nonetheless, grid-centric perception is less prevalent than object-centric perception for …

Grid mapping is a well-established approach for environment perception in robotic and
automotive applications. Early work suggests estimating the occupancy state of each grid …

Autonomous vehicle systems are currently the object of intense research within scientific
and industrial communities; however, many problems remain to be solved. One of the most …

In this paper, we propose a part-based particle filter for on-road vehicle tracking. The
proposed model combines a part-based strategy with a particle filter. By introducing a …

Correlation-based stereo vision has proven its power in commercially available driver
assistance systems. Recently, real-time dense stereo matching algorithms have become …

Occupancy grids are a very convenient tool for environment representation in robotics. This
paper will detail a novel approach for computing occupancy grids from stereo vision and …

We propose a method capable of acquiring an occupancy grid map-based representation of
the local, static driving environment around an intelligent vehicle in the presence of dynamic …

This paper presents a generic grid mapping approach which can be used to map huge
areas. A special map definition based on so called grid patches is proposed to limit memory …

This paper presents the development of a vision-based system for microscopic road traffic
scene analysis and understanding using computer vision and computational intelligence …

In research projects for future ADAS functions a dense environment model covering free
space is often necessary, which is obtained by complementing or replacing a common …