This paper proposes an effective approach to detect and segment moving objects from two
time-consecutive stereo frames, which leverages the uncertainties in camera motion …

Image based reconstruction of urban environments is a challenging problem that deals with
optimization of large number of variables, and has several sources of errors like the …

This paper presents a mobile object detection algorithm which performs with two
consecutive stereo images. Like most motion detection methods, the proposed one is based …

While the literature has been fairly dense in the areas of scene understanding and semantic
labeling there have been few works that make use of motion cues to embellish semantic …

Real-time outdoor navigation in highly dynamic environments is an crucial problem. The
recent literature on real-time static SLAM don't scale up to dynamic outdoor environments …

Object tracking and classification serve as basic components for the different perception
tasks of autonomous robots. They provide the robot with the capability of class-aware …

In this paper, we propose an effective approach for moving object detection based on
modeling the ego-motion uncertainty and using a graph-cut based motion segmentation …

This paper considers passive vision for robotics and focuses on devising a real-time process
for moving object detection using a stereo rig. As several previous works, our method relies …

This survey article provides a synopsis on some of the engineering problems, technological
innovations, robotic development and automation efforts encountered in the mining industry …

It is a well known result in the vision literature that the motion of independently moving
objects viewed by an affine camera lie on affine subspaces of dimension four or less. As a …