23 citations · 51 across the 7 of their papers we have counts for
8 papers
Electromagnetic Micro-Guidewire Control in Large Workspaces
Jasan Zughaibi, Elia Jaggy, Valentin Gantenbein +9
Electromagnetic navigation requires sufficient actuation at clinically relevant distances due to limited magnetic volumes and coil currents. We combine real-time pose feedback with…
Efficient and Accurate Downfacing Visual Inertial Odometry
Jonas Kühne, Christian Vogt, Michele Magno +1
Visual Inertial Odometry (VIO) is a widely used computer vision method that determines an agent's movement through a camera and an IMU sensor. This paper presents an efficient and…
Low Latency Visual Inertial Odometry with On-Sensor Accelerated Optical Flow for Resource-Constrained UAVs
Jonas Kühne, Michele Magno, Luca Benini
Visual Inertial Odometry (VIO) is the task of estimating the movement trajectory of an agent from an onboard camera stream fused with additional Inertial Measurement Unit (IMU) mea…
Towards Real-Time Fast Unmanned Aerial Vehicle Detection Using Dynamic Vision Sensors
Jakub Mandula, Jonas Kühne, Luca Pascarella +1
Unmanned Aerial Vehicles (UAVs) are gaining popularity in civil and military applications. However, uncontrolled access to restricted areas threatens privacy and security. Thus, pr…
CR3DT: Camera-RADAR Fusion for 3D Detection and Tracking
Nicolas Baumann, Michael Baumgartner, Edoardo Ghignone +5
To enable self-driving vehicles accurate detection and tracking of surrounding objects is essential. While Light Detection and Ranging (LiDAR) sensors have set the benchmark for hi…
ForzaETH Race Stack -- Scaled Autonomous Head-to-Head Racing on Fully Commercial off-the-Shelf Hardware
Nicolas Baumann, Edoardo Ghignone, Jonas Kühne +11
Autonomous racing in robotics combines high-speed dynamics with the necessity for reliability and real-time decision-making. While such racing pushes software and hardware to their…
A Fast and Accurate Optical Flow Camera for Resource-Constrained Edge Applications
Jonas Kühne, Michele Magno, Luca Benini
Optical Flow (OF) is the movement pattern of pixels or edges that is caused in a visual scene by the relative motion between an agent and a scene. OF is used in a wide range of com…
Parallelizing Optical Flow Estimation on an Ultra-Low Power RISC-V Cluster for Nano-UAV Navigation
Jonas Kühne, Michele Magno, Luca Benini
Optical flow estimation is crucial for autonomous navigation and localization of unmanned aerial vehicles (UAV). On micro and nano UAVs, real-time calculation of the optical flow i…