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• Embedded Systems and autonomous UAVs
  ...assification, and local decision-making are essential for a truly scalable and robust IoT infrastructure. ...mature ad hoc approaches. Neural network algorithms are extremely flexible and applicable to various data sources. They perform at best when information i
  5 KB (625 words) - 16:59, 10 November 2020

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• Main Page
  ...student and research projects at the [http://www.iis.ee.ethz.ch Integrated Systems Laboratory] of the [http://www.ethz.ch ETH Zurich]. * [[Analog| Analog and Mixed Signal Design]]
  5 KB (537 words) - 15:22, 23 February 2024
• Digital
  rect 0 910 1300 1820 [[Biomedical Circuits, Systems, and Applications]] rect 2600 0 3900 910 [[HW/SW Safety and Security]]
  7 KB (811 words) - 15:21, 23 February 2024
• Energy Efficient Autonomous UAVs
  =Introduction and Platforms= ...such technology are unmanned aerial vehicles (UAVs) and autonomous driving systems.
  14 KB (2,077 words) - 15:02, 13 June 2022
• Towards Autonomous Navigation for Nano-Blimps
  [[Category:Energy Efficient Autonomous UAVs]] [[Category:Software]] [[Category:Digital]] [[Category:PULP]] [[Category:C [[File:Ref1.png|thumb|right|600px|IIS autonomous flying nano-size UAVs [2]. A) Our prototype. B) Object-tracking application.]]
  7 KB (1,008 words) - 16:20, 20 February 2018
• Towards Self-Sustainable Unmanned Aerial Vehicles
  [[Category:Energy Efficient Autonomous UAVs]] [[Category:Software]] [[Category:Digital]] [[Category:PULP]] [[Category:C ...led balloon makes it as light as air. Though blimps have limited the speed and are more susceptible to adverse wind conditions, it significantly reduced e
  6 KB (914 words) - 16:17, 20 February 2018
• Multisensory system for performance analysis in ski jumping (M/1-2S/B)
  ...tories of athletes. Within the short duration of a ski-jump (< 10 seconds) and exposed to the conditions of nature (snow, wind, temperature) athletes must ...such a flight situation, the body-mounted sensors and devices must be tiny and barely perceptible to the athlete so as not to disturb his/her sensitive ju
  6 KB (820 words) - 12:13, 23 July 2023
• Improved State Estimation on PULP-based Nano-UAVs
  [[Category:Hot]] [[Category:Energy Efficient Autonomous UAVs]] [[Category:Software]] [[Category:Digital]] [[Category:PULP]] [[Category:C Autonomous unmanned aerial vehicles (UAVs) are increasingly getting smaller and smarter.
  8 KB (1,117 words) - 22:17, 26 January 2022
• Deep Learning-based Global Local Planner for Autonomous Nano-drones
  [[Category:Hot]] [[Category:Energy Efficient Autonomous UAVs]] [[Category:UAV]] [[Category:Software]] [[Category:Digital]] [[Category:PU Autonomous unmanned aerial vehicles (UAVs) are increasingly getting smaller and smarter.
  4 KB (571 words) - 12:11, 27 January 2022
• Probing the limits of fake-quantised neural networks
  ...to execute these models on resource-constrained computing systems such as embedded, mobile, or edge devices. QNNs have the double benefit of reducing models size and replacing the energy-costly floating-point arithmetic with the energy-effic
  5 KB (659 words) - 14:08, 15 February 2024
• Autonomous Obstacle Avoidance with Nano-Drones and Novel Depth Sensors
  <!-- Creating Autonomous Obstacle Avoidance with Nano-Drones and Novel Depth Sensors --> ...ideal candidates for navigating in very narrow indoor areas for monitoring and inspection purposes.
  4 KB (604 words) - 14:07, 10 March 2022
• Autonomous Mapping with Nano-Drones UWB and Novel Depth Sensors
  <!-- Creating Autonomous Mapping on Nano-Drones with UWB and Novel Depth Sensors --> ...ideal candidates for navigating in very narrow indoor areas for monitoring and inspection purposes.
  3 KB (507 words) - 15:09, 11 February 2022
• Improved Collision Avoidance for Nano-drones
  [[Category:Hot]] [[Category:Energy Efficient Autonomous UAVs]] [[Category:UAV]] [[Category:Software]] [[Category:Digital]] [[Category:PU ...being fed with images and outputting a steering angle (regression problem) and a probability of collision (classification problem). The steering angle is
  4 KB (550 words) - 21:25, 15 February 2022
• Bridging QuantLab with LPDNN
  ...to execute these models on resource-constrained computing systems such as embedded, mobile, or edge devices. QNNs have the double benefit of reducing models size and replacing the energy-costly floating-point arithmetic with the energy-effic
  7 KB (831 words) - 19:36, 12 January 2023
• Artificial Reverberation for Embedded Systems
  ...already requires well over 4.5Mbit storage, which is prohibitive for most embedded applications. ...d, the student(s) will implement the architecture in a modern CMOS process and send a chip to fabrication. The fabricated chip should be able to apply the
  5 KB (578 words) - 12:39, 14 June 2023
• Wireless In Action Data Streaming in Ski Jumping (1 B/S)
  ...e. This requires reliable wireless communication with sufficient bandwidth and range. : Embedded systems and PCB design
  6 KB (688 words) - 12:15, 23 July 2023
• Smart Goggles for Visual In-Action Feedback in Ski Jumping (1 M 1-2B/S)
  ...translates sensor data into simple, motor-transferable information online and displays this to jumpers (e.g. via LEDs) during the execution of the jump. : Embedded systems and PCB design
  6 KB (735 words) - 12:15, 23 July 2023