Software
From iis-projects
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In this category the projects require you to do programming
Available Projects
- Structural Health Monitoring (SHM) System (1-2S/M)
- Spectrometry for Environmental Monitoring (1-2S/M)
- Waterflow Monitoring with Doppler Ultrasound (1S)
- Sound-Based Vehicle Classification and Counting (1-2S)
- Multi-Modal Environmental Sensing With GAP9 (1-2S)
- 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
- A Wireless Sensor Network for HPC monitoring
- Towards Online Training of CNNs: Hebbian-Based Deep Learning
- Embedded Audio Source Localization Exploiting Coincidence Detection in Asynchronous Spike Streams
- Linux Driver for fine-grain and low overhead access to on-chip performance counters
- Open Power-On Chip Controller Study and Integration
- Control an external ADC using Programmable Real-Time Unit (PRU) Subsystem on Beaglebone Black used as embedded HPC-performance-monitoring device
- Covariant Feature Detector on Parallel Ultra Low Power Architecture
Projects in Progress
Completed Projects
- Running Rust on PULP
- Flexfloat DL Training Framework
- Improved State Estimation on PULP-based Nano-UAVs
- Real-Time ECG Contractions Classification
- A Wireless Sensor Network for HPC monitoring
- Linux Driver for built-in ADC using DMA and Programmable Real-Time Unit (PRU) support on Beaglebone Black used as embedded HPC-performance-monitoring device
- Signal-Processing and Data-Compression on Beaglebone Black used as embedded HPC-performance-monitoring device
- 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
- Learning Image Decompression with Convolutional Networks
- Change-based Evaluation of Convolutional Neural Networks
- Real-Time Optical Flow Using Neural Networks
- Improving Scene Labeling with Hyperspectral Data
- Reading The GSM Beacon Carrier with OsmocomBB and stoneEDGE
- Hardware/software co-programming on the Parallella platform
