On-board pedestrian detection is in the frontier of the state-of-the-art since it implies
processing outdoor scenarios from a mobile platform and searching for aspect-changing …

During the next decade, on-board pedestrian detection systems will play a key role in the
challenge of increasing traffic safety. The main target of these systems, to detect pedestrians …

This paper presents a domain adaptation strategy to efficiently train network architectures for
estimating the relative camera pose in multi-view scenarios. The network architectures are …

This paper presents an efficient technique for estimating the pose of an onboard stereo
vision system relative to the environment's dominant surface area, which is supposed to be …

This paper proposes a dense stereo-based robust vertical road profile estimation method.
The vertical road profile is modeled by a cubic B-spline curve, which is known to be accurate …

An obstacle detection approach based on stereo vision is proposed for mobile robot
navigation. The aim of the approach is to detect a real environment to allow a mobile robot to …

This paper presents a novel Siamese network architecture, as a variant of Resnet-50, to
estimate the relative camera pose on multi-view environments. In order to improve the …

Being aware of other vehicles on the road ahead is a key information to help driver
assistance systems to increase driver's safety. This paper addresses this problem, proposing …

This paper presents a comparative study between two road approximation techniques—
planar surfaces—from stereo vision data. The first approach is carried out in the v-disparity …

Nowadays, intelligent systems applied to vehicles have grown very rapidly; their goal is not
only the improvement of safety, but also making autonomous driving possible. Many of these …