Place recognition is a challenging problem in mobile robotics, especially in unstructured
environments or under viewpoint and illumination changes. Most LiDAR-based methods rely …

Place recognition is a key element of mobile robotics. It can assist with the “wake-up” and
“kidnapped robot” problems, where the robot position needs to be estimated without prior …

Civil infrastructure inspection is crucial to maintaining the quality of that infrastructure, which
has a great impact on the economy. Performing this inspection is costly work that requires …

Place recognition is widely used for global localization technology. However, the existing
place recognition solutions are limited by the requirement for the same type of sensors to be …

Path planning is intrinsically regarded as a multi-objective optimization problem (MOOP) that
simultaneously optimizes the shortest path and the least collision-free distance to obstacles …

Within the context of road estimation, the present paper addresses the problem of the fusion
of several sources with different reliabilities. Thereby, reliability represents a higher-level …

Lane estimation plays a central role for Driver Assistance Systems, therefore many
approaches have been proposed to measure its performance. However, no commonly …

For highly available automated driving, a robust road estimation is indispensable. In order to
tackle the challenges of this task, many works employ a fusion of multiple sources, eg …

Concerning the variety of challenging situations of automated driving, a simple average
fusion of all available information sources is not appropriate to obtain satisfying results …

In this paper we propose a fusion method which uses the depth information acquired from a
LIDAR sensor to guide a block matching stereo algorithm. The resulting fused point clouds …