TULIPP at the EMVA Forum in Bologna
On Thursday September 6th, Fraunhofer IOSB will present TULIPP at the 3rd EMVA Forum in Bologna. We will show a live demo of real-time stereo processing on the EMC2-DP board equipped with a Xilinx Ultrascale+ during the poster session. Looking forward to seeing you there! https://www.emva.org/
TULIPP Agri starter kit
AI is destined to be the future of agriculture but there are significant challenges involved, the TULIPP Agri Kit will help you productively develop safe, reliable, intelligent and efficient robots by providing: Certifiable hard real time performance Integrated artificial intelligence leveraging custom accelerators A scalable, high performance platform with guaranteed time and space isolation ROS compatible Supports a rich set
University of Leicester joins the advisory board
Welcome to the advisory board, University of Leicester 7-9 Salisbury Road Leicester Leicestershire LE1 7QR United Kingdom www.le.ac.uk/innovation Tel. +44 1162 522 185
First public release of the TULIPP toolchain STHEM
The first version of the TULIPP tool-chain is now available to the public. The TULIPP toolchain is called STHEM - an acronym for Supporting uTilities for Heterogeneous EMbedded image processing platforms. The key feature of STHEM is that it automatically and non-intrusively captures fine-grained performance and power consumption profiles. This enables the developer to quickly determine the location and severity of
TULIPP obstacle avoidance based on embedded stereo for UAVs
The performance of the reactive obstacle avoidance was tested on real objects in a hardware in the loop (HIL) setup. In our approach the disparity image is calculated on Xilinx Ultrascale+ FPGA and transformed into U-map and V-map. The images are filtered and waypoints are estimated. The application runs in the DJI Simulator.
Erle Robotics joins the advisory board
Welcome to the advisory board, Erle Robotics Calle Venta de la Estrella, 6 Pab. 130, 01006 Vitoria, Álava, Spain http://erlerobotics.com Tel. 0034 945 30 68 20