Difference between revisions of "User:Dpalossi"
From iis-projects
Line 1: | Line 1: | ||
==Daniele Palossi== | ==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. | ||
− | |||
==Available Projects== | ==Available Projects== | ||
<DynamicPageList> | <DynamicPageList> | ||
− | |||
category = Available | category = Available | ||
+ | category = Digital | ||
category = Dpalossi | category = Dpalossi | ||
+ | category = Energy Efficient Autonomous UAVs | ||
+ | suppresserrors=true | ||
</DynamicPageList> | </DynamicPageList> | ||
+ | |||
+ | ==Projects In Progress== | ||
+ | <DynamicPageList> | ||
+ | category = In progress | ||
+ | category = Digital | ||
+ | category = Dpalossi | ||
+ | category = Energy Efficient Autonomous UAVs | ||
+ | suppresserrors=true | ||
+ | </DynamicPageList> | ||
+ | |||
+ | ==Completed Projects== | ||
+ | <DynamicPageList> | ||
+ | category = Completed | ||
+ | category = Digital | ||
+ | category = Dpalossi | ||
+ | category = Energy Efficient Autonomous UAVs | ||
+ | suppresserrors=true | ||
+ | </DynamicPageList> | ||
+ | |||
==Contact Information== | ==Contact Information== |
Revision as of 22:22, 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.
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]