Entrepreneur, achiever, ENTJ. Robotics + machine learning = autonomous drones and cars. Teaching robots how to understand our world
Machine learning and Computer vision algorithms for Autonomous Driving:
Deep learning algorithms development (Tensorflow, OpenCV, TensorRT) for Autonomous driving and cabin monitoring:
Mechanical design, software development (control/guidance) and testing. Matlab/Simulink, embedded C/C++
Neural Networks and Deep Learning, Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization, Structuring Machine. Learning Projects, Convolutional Neural Networks and Sequence Models.
Dynamics and modelling, linear and non-linear control. Path planning. Image geometry, projective, pose estimation, multiview geometry. Gaussian learning, Bayesian estimation and filtering, Localization and mapping.
Course modules: Guidance and Navigation Systems, Modelling of Dynamic Systems, Sensor Fusion, Introduction to Aerodynamics, Autonomous Systems and Operations, Data and Information Fusion, Fault Diagnosis and Fault Tolerant Control, Autonomous Systems Control. ยท Thesis: Adaptive and Fault-Tolerant flight control systems with Adaptive Neural Networks
5 years degree equivalent to Bachelor + Master in Space vehicles
CNN based depth estimation on fisheye cameras.
Monocular vSLAM (Jetson TX2) + IMU/GPS on EKF