In this research area, we are exploring new SLAM algorithm and security aspects of autonomous systems.
Development of SLAM algorithms for autonomous systems
Development of security algorithms for autonomous systems
A. Sehgal, A. Singandhupe, H. M. La, A. Tavakkoli, and S. Louis. Lidar-Monocular Visual Odometry with Genetic Algorithm for Parameter Optimization, the 14th International Symposium on Visual Computing (ISVC), Oct. 7-9, 2019, Lake Tahoe, NV, USA.
- A. Singandhupe, and H. M. La. A Review of SLAM Techniques and Security in Autonomous Driving. In Proceedings of the third IEEE International Conference on Robotic Computing (IRC), February 25-27, 2019, Naples, Italy. PDF
- A. Singandhupe, H. M. La, and D. Feil-Seifer. Reliable Security Algorithm for Drones Using Individual Characteristics From an EEG Signal. IEEE Access, Volume: 6, Issue: 1, Pages: 22976 – 22986, December, 2018. Impact Factor: 3.557. PDF Demonstration Video
- A. Singandhupe, H. M. La, D. Feil-Seifer, P. Huang, L. Guo, and M. Li. Securing a UAV Using Individual Characteristics From an EEG Signal. In Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC), Oct. 5-8, 2017, Banff, Canada. PDF