Kemsaram, N., Das, A., & Dubbelman, G. (27 June 2022). A model-based design of an onboard stereo vision system: obstacle motion estimation for cooperative automated vehicles. SN Applied Sciences, 4 (7), 1-18. doi:10.1007/s42452-022-05078-w Peer Reviewed verified by ORBi |
Kemsaram, N., Das, A., & Dubbelman, G. (17 December 2021). Model-Based Systems Engineering to Design An Onboard Surround Vision System for Cooperative Automated Vehicles [Paper presentation]. IEEE International Informatics and Software Engineering Conference 2021 (IISEC 2021), Ankara, Turkey. |
Kemsaram, N., Das, A., & Dubbelman, G. (09 December 2021). A SysML-based Design and Development of Stereo Vision System with Pose and Velocity Estimation for Cooperative Automated Vehicles [Paper presentation]. IEEE International Conference on Electrical, Computer, and Energy Technologies 2021 (ICECET 2021), Cape Town, South Africa. |
Kemsaram, N., Das, A., & Dubbelman, G. (2020). Architecture Design and Development of an On-board Stereo Vision System for Cooperative Automated Vehicles. In 2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC) (pp. 1--8). doi:10.1109/ITSC45102.2020.9294435 Peer reviewed |
Kemsaram, N., Das, A., & Dubbelman, G. (2020). A stereo perception framework for autonomous vehicles. In 2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring) (pp. 1--6). Peer reviewed |
Kemsaram, N., Das, A., & Dubbelman, G. (2019). An integrated framework for autonomous driving: object detection, lane detection, and free space detection. In 2019 Third World Conference on Smart Trends in Systems Security and Sustainablity (WorldS4) (pp. 260--265). Peer reviewed |
Kemsaram, N., Thatiparti, V. R. K., Guntupalli, D. R., & Kuvvarapu, A. (2017). Design and development of an on-board autonomous visual tracking system for unmanned aerial vehicles. Aviation, 21 (3), 83--91. doi:10.3846/16487788.2017.1378265 Peer reviewed |
Kemsaram, N., Kanth, T. V. R., Guntupalli, D. R., & Kuvvarapu, A. (2017). A multi-level visual tracking algorithm for autonomous vehicles. International Journal of Advanced Research in Computer Science, 8 (7), 1156--1162. Peer reviewed |
Kemsaram, N., Thatiparti, T. V. R., Guntupalli, D. R., & Kuvvarapu, A. (2016). An autonomous visual tracking algorithm based on mean-shift algorithm and extended Kalman filter estimator. International Journal of Innovative Computer Science Engineering, 3 (2), 14--23. Peer reviewed |
Kemsaram, N., Thatiparti, T. V. R., Guntupalli, D. R., & Kuvvarapu, A. (2016). A hybrid autonomous visual tracking algorithm for micro aerial vehicles. International Journal of Engineering Sciences Research Technology, 5 (8), 524--535. Peer reviewed |
Kemsaram, N., Kanth, T. V. R., Guntupalli, D. R., & Kuvvarapu, A. (2016). An efficient approach of autonomous visual tracking for micro aerial vehicles. International Journal of Recent Scientific Research, 7 (6), 11959--11964. Peer reviewed |
Kemsaram, N., Kanth, T. V. R., & Guntupalli, D. R. (2016). A mean-shift algorithm based autonomous visual tracking for micro aerial vehicles. International Journal of Recent Trends in Engineering Research, 2 (4), 362--369. Peer reviewed |
Kemsaram, N., Kanth, T. V. R., & Guntupalli, D. R. (2015). Autonomous Visual Tracking with Extended Kalman Filter Estimator for Micro Aerial Vehicles. In N. Kemsaram, 5th International Conference on Fuzzy and Neuro Computing 2015 (FANCCO 2015), Hyderabad, India, 16-19 December 2015. Springer. Peer reviewed |
Kemsaram, N., Kanth, T. V. R., & Guntupalli, D. R. (2014). An experimental study of the autonomous visual target tracking algorithms for small unmanned aerial vehicles. In 1st International Conference on Rough Sets and Knowledge Technologies 2014 (ICRSKT 2014), Hyderabad, India, 10-11 November 2014 (pp. 52--59). Elsevier. Peer reviewed |
Kemsaram, N., Kanth, T. V. R., & Guntupalli, D. R. (2014). A comparative study on image fusion algorithms for avionics applications. International Journal of Advanced Engineering and Global Technology, 2 (4), 616--621. Peer reviewed |