3 accepted papers
The extreme variability in the appearance of a place across the four seasons of the year is one of the most challenging problems in life-long visual topological localization for mobile robotic systems and intelligent vehicles. Traditional solutions to this problem are based on the description of ima…
We propose a system for performing structural change detection in street-view videos captured by a vehicle- mounted monocular camera over time. Our approach is moti- vated by the need for more frequent and efficient updates in the large-scale maps used in autonomous vehicle navigation. Our method ch…
Life-long visual localization is one of the most challenging topics in robotics over the last few years. The difficulty of this task is in the strong appearance changes that a place suffers due to dynamic elements, illumination, weather or seasons. In this paper, we propose a novel method (ABLE-M) t…