most citedLow Latency Visual Inertial Odometry with On-Sensor Accelerated Optical Flow for Resource-Constrained UAVs

15 citations · 16 across the 3 of their papers we have counts for

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cs.CV20251 cited

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…

cs.CV202415 cited

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…

cs.CV2024

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…

cs.CV2024

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…

cs.CV20234 cited

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…