Perception tasks for scene understanding in such complex environments as on our streets, are currently best solved using Deep Learning techniques. In particular, multitask learning (MTL), has gained popularity, as […]
Nonlinear Dynamics and Chaos
Description follows Assignments Nonlinear Dynamics and Chaos I (Fall 2019) Nonlinear Dynamics and Chaos II (Spring 2020)
Hardware Accelerators for Deep Neural Networks
Deep Learning methods applied to computer vision task solve problems with previously unimaginable precision, for instance in semantic segmentation and object recognition. Perhaps the major drawback of deep neural networks […]
High Performance Computing
Coursework on HPC concepts, from high troughput computing, Monte Carlo Methods for Uncertainty Quantification to GPU acceleration. Main technologies used: C++, OpenMP, MPI, UPCXX, CUDA. Assignments HPCSE I (Fall 2019) […]
UAV Collision Avoidance and Autonomous Navigation
In the last few years an increasing demand in multicopter vehicle applications is taking place. Almost all of them involve autonomous trajectory following and collision avoidance as a security measure. […]