Narsimlu Kemsaram is a Postdoctoral Researcher with the Video Coding and Architectures (VCA) Research Group, Mobile Perception Systems (MPS) Research Lab at the Eindhoven University of Technology (TU/e), Eindhoven, Netherlands. He is currently working in the i-CAVE (integrated Cooperative Automated Vehicles) P1 Sensing, Mapping, and Localization project. He has worked in various Aerospace & Defence industries. Key research areas: Autonomous Vehicles, Computer Vision, Deep Learning, and Artificial Intelligence.
Narsimlu Kemsaram received his Doctor of Philosophy (Ph.D.) degree in Computer Science and Engineering from the Jawaharlal Nehru Technological University (JNT University), Hyderabad, India, on the topic of "Design and Development of Autonomous Visual Tracking Algorithm for Unmanned Aerial Vehicles". He received his Master of Business Administration (MBA) degree in Aerospace from the Toulouse Business School, Toulouse, France (TBS France) and from the Indian Institute of Management, Bangalore (IIM Bangalore), India including international modules in the Toulouse (France), Bangalore (India), Seattle (USA), Brussels (Belgium). He received his Master of Technology (M.Tech) degree in Computer Science from the Jawaharlal Nehru Technological University (JNT University), Hyderabad, India. He received his Bachelor of Technology (B.Tech) degree in Computer Science and Engineering from the National Institute of Technology, Warangal (NIT Warangal), India.
An integrated framework for autonomous driving(2019)
A multi-level visual tracking algorithm for autonomous vehiclesInternational Journal of Advanced Research in Computer Science (2017)
Design and development of an on-board autonomous visual tracking system for unmanned aerial vehiclesAviation (2017)
Autonomous visual tracking with Extended Kalman Filter estimator for micro aerial vehicles5th International Conference on Fuzzy and Neuro Computing (FANCCO 2015) (2015)
An experimental study of the autonomous visual target tracking algorithms for small unmanned aerial vehicles1st International Conference on Rough Sets and Knowledge Technologies-2014 (ICRSKT-2014) (2014)
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