Bhagyaraj Dharmana

As an Algorithm Developer I have been working with perception functions for Autonomous Driving using one the powerful sensors Valeo LiDAR Scala 3. Currently developing an Algorithm for Tracking the Lane markings from Lidar Point clouds using Unscented Kalman Filter.

Worked with perception functions for Autonomous Driving using the widely used sensors LiDAR and Camera. Developed an Algorithm for Multiple Object Tracking using VLP-16 Lidar Point clouds. I also worked on Vehicle to X project (V2X) where MAP and SPAT signal from traffic lights at the smart city intersection were visualised in Map view and also in drivers perspective. Also I supervised two master students for their respective student works in the field of Driver Assistance Skills: C++, Python, Lidar

Development of Machine Learning Algorithms for Autonomous Racing. Implementing of Meta Learning Algorithms MAML (Model Agnostic Meta Learning) and Reptile in TensorFlow. Deployment and testing of models on Jetson Nano with Robo Cars and the results of all models were comparedDevelopment of Machine Learning Algorithms for Autonomous Racing. Prediction of Steering angle and throttle with Convolutional Neural Networks (CNN) in TensorFlow. Deployment on Jetson Nano. Skills: Computer Vision · Automotive

Prediction of intention of the driver using LSTM Neural Networks. Labelling of objects at intersections to avoid false positives by crossing assistant function in PYTHON. Development of a graphical user interface for the visualization in MATLAB. Prediction of intention of the driver using LSTM Neural Networks. Labelling of objects at intersections to avoid false positives by crossing assistant function in PYTHON. Development of a graphical user interface in MATLAB. Skills: Computer Vision · Automotive

Grade: 1.7/4.0

Grade: 9.2/10 (1.3/4.0)