
Sr. Lidar engineer with 5+ years experience in the self-driving car space. PhD graduate with 4+ years of interdisciplinary research experience, building a 2D MEMS based scanning lidar sensor. Authored a book titled, 'Autonomous Vehicle Lidar: A Tutorial' that has sold about 100+ copies worldwide. Available on Amazon (KDP).
Programing Skills - Python, Matlab, C
Version Control - GitHub
OS - Linux Ubuntu, Unix & Windows
Sensor Fusion Algorithms - Kalman Filter (KF), Extended-KF, Unscented-KF
Bhaskaran, Sreevatsan, et al. "Identifying and/or removing false positive detections from lidar sensor output." U.S. Patent 11740335 [Published 08-29-2023].
Bhaskaran, Zhou, Baab, Calhoun Autonomous Vehicle Lidar: A Tutorial,2019
Bhaskaran, Sreevatsan. Direct Detection Time of Flight Lidar Sensor System Design and a Vortex Tracking Algorithm for a Doppler Lidar. Diss. Arizona State University, 2018.
Bhaskaran, Sreevatsan, and Ronald Calhoun. "Aircraft vortex characterization by estimating the dominant modes from the return power spectrum of a Doppler Lidar." 9th AIAA Atmospheric and Space Environments Conference. 2017.
Bhaskaran, Sreevatsan, and Ronald Calhoun. "Approaches for Improved Doppler Estimation in Lidar Remote Sensing of Atmospheric Dynamics." EPJ Web of Conferences. Vol. 119. EDP Sciences, 2016.