3 accepted papers
Multi-camera systems hold considerable promise for enhancing visual odometry by expanding the field of view, yet simply adding more cameras does not guarantee higher accuracy. Because increasing the number of cameras also raises the likelihood of degraded or misaligned views, appropriate handling is…
RGB-D cameras are crucial in robotic perception, given their ability to produce images augmented with depth data. However, their limited field of view (FOV) often requires multiple cameras to cover a broader area. In multi-camera RGB-D setups, the goal is typically to reduce camera overlap, optimizi…
This paper introduces a stereo thermal camera dataset (STheReO) with multiple navigation sensors to encourage thermal SLAM researches. A thermal camera measures infrared rays beyond the visible spectrum therefore it could provide a simple yet robust solution to visually degraded environments where e…