4 accepted papers
Visual Odometry (VO) and Visual SLAM (VSLAM) systems often struggle in low-light and dark environments due to the lack of robust visual features. In this paper, we propose a novel active illumination framework to enhance the performance of VO and V-SLAM algorithms in these challenging conditions. Th
Autonomous robot navigation relies on the robot’s ability to understand its environment for localization, typically using a Visual Simultaneous Localization And Mapping (SLAM) algorithm that processes image sequences. While state-of-the-art methods have shown remarkable performance, they still have…
Gaussian Processes (GPs) are expressive models for capturing signal statistics and expressing prediction uncer-tainty. As a result, the robotics community has gathered interest in leveraging these methods for inference, planning, and control. Unfortunately, despite providing a closed-form inference…
Enabling Micro Aerial Vehicles (MAVs) with semi-autonomous capabilities to assist their teleoperation is crucial in several applications. Remote human operators do not have, in general, the situational awareness to perceive obstacles near the drone, nor the readiness to provide commands to avoid col…