A comparative study of semantic segmentation of omnidirectional images from a motorcycle perspective.

The semantic segmentation of omnidirectional urban driving images is a research topic that has increasingly attracted the attention of researchers, because the use of such images in driving scenes is highly relevant. However, the case of motorized two-wheelers has not been treated yet. Since the dynamics of these vehicles are very different from those of cars, we focus our study on images acquired using a motorcycle.

Height of Driver's Eye and Taillight Measurements from a Camera-Based Roadside Setup.

This paper presents an approach that can be used to measure height of driver's eyes and rear position lamps from a video, i.e., two important metrics used to set sight distance standards.

A Study of Vicon System Positioning Performance.

Motion capture setups are used in numerous fields. Studies based on motion capture data can be found in biomechanical, sport or animal science. Clinical science studies include gait analysis as well as balance, posture and motor control.

PHROG: A Multimodal Feature for Place Recognition.

Long-term place recognition in outdoor environments remains a challenge due to high appearance changes in the environment. The problem becomes even more difficult when the matching between two scenes has to be made with information coming from different visual sources, particularly with different spectral ranges. For instance, an infrared camera is helpful for night vision in combination with a visible camera.

Robust radial face detection for omnidirectional vision.

Bio-inspired and non-conventional vision systems are highly researched topics. Among them, omnidirectional vision systems have demonstrated their ability to significantly improve the geometrical interpretation of scenes. However, few researchers have investigated how to perform object detection with such systems.