Event-based cameras promise a shift towards perception robustness, with resilience to motion blur and high dynamic range. At the same time, autonomous driving is becoming a prominent application of cutting […]
Deep Learning for Autonomous Driving
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
Almost all real world systems are inherently nonlinear. This two-semester coursework studies this fascinating general class of systems from local near-equilibrium behaviors to globally attracting manifolds. Assignments Nonlinear Dynamics and […]
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
Exploiting large computing clusters for solving challenging scientific and engineering problems is a fascinating discipline, bridging the gap between algorithms and advancements in multi-core CPU and GPU technologies. In this […]
Axial Flux Drive Assembly Line
Due to the high torque and power density, Axial Flux Permanent Magnet (AFPM) machines are a promising solution for electric vehicles (EVs) and high-efficiency applications. However, the so called pancake […]
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. […]