Difference between revisions of "User:Dpalossi"
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Daniele is a Ph.D. student at the Dept. of Information Technology and Electrical Engineering at the Swiss Federal Institute of Technology in Zurich (ETH Zurich). Daniele's research interest is in energy-efficiency on embedded real-time platforms for autonomous vehicles and advanced driver assistance systems, with particular emphasis on approximate computing and bio-inspired techniques. | Daniele is a Ph.D. student at the Dept. of Information Technology and Electrical Engineering at the Swiss Federal Institute of Technology in Zurich (ETH Zurich). Daniele's research interest is in energy-efficiency on embedded real-time platforms for autonomous vehicles and advanced driver assistance systems, with particular emphasis on approximate computing and bio-inspired techniques. | ||
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Revision as of 22:23, 19 February 2018
Contents
Daniele Palossi
Daniele is a Ph.D. student at the Dept. of Information Technology and Electrical Engineering at the Swiss Federal Institute of Technology in Zurich (ETH Zurich). Daniele's research interest is in energy-efficiency on embedded real-time platforms for autonomous vehicles and advanced driver assistance systems, with particular emphasis on approximate computing and bio-inspired techniques.
Projects
Available Projects
- Event-based navigation on autonomous nano-drones
- A Novel Execution Scheme for Ultra-tiny CNNs Aboard Nano-UAVs
- Improved Collision Avoidance for Nano-drones
- Deep Learning-based Global Local Planner for Autonomous Nano-drones
- Monocular Vision-based Object Following on Nano-size Robotic Blimp
- A Waypoint-based Navigation System for Nano-Size UAVs in GPS-denied Environments
- Covariant Feature Detector on Parallel Ultra Low Power Architecture
Projects In Progress
Completed Projects
- Improved State Estimation on PULP-based Nano-UAVs
- Towards Self-Sustainable Unmanned Aerial Vehicles
- Study and Development of Intelligent Capability for Small-Size UAVs
- Towards Autonomous Navigation for Nano-Blimps
- PULP-Shield for Autonomous UAV
- Self-Learning Drones based on Neural Networks
Contact Information
- Office: ETZ J76.2
- e-mail: daniele.palossi@iis.ee.ethz.ch
- phone: (+41 44 63) 388 43
- www: IIS Staff page [1]
