I am Ravi Kumar Satzoda. Professionally, I am currently a Post Doctoral Fellow at Laboratory for Intelligent and Safe Automobiles (LISA) at University of California San Diego. I am working with Prof. Mohan Trivedi on active safety systems for intelligent vehicles (IV) and advanced driver assistance systems (ADAS). Our lab LISA has been recently awarded with 2015 IEEE ITSS Institutional Lead Award.
My current research is primarily focused on computer vision and machine learning algorithms for intelligent vehicles and driver assistance systems. I have worked on real-time online implementations of ADAS applications such as lane departure warning, vehicle detection and tracking, lane change assistance and obstacle detection. I am also working in collaboration with Toyota’s Collaborative Safety Research Center (CSRC) on Naturalistic Driving Studies (NDS), wherein I am developing tools towards automated data reduction of NDS data.
Additionally, I am leading the project with Qualcomm on developing embedded computer vision techniques that can be implemented on resource constrained embedded computing platforms. This includes developing core computer vision operations such as vehicle detection, surround scene evaluation etc. on Snapdragon embedded processors. One of our work will possibly be presented in Consumer Electronics Show 2016.
I completed my PhD in 2013 under the supervision of Prof. Thambipillai Srikanthan from Nanyang Technological University (NTU), Singapore. My Doctoral dissertation was on “Embedded Computing Techniques for Vision-based Lane Change Decision Aid Systems (LCDAS)”. As part of PhD dissertation, I developed architecture aware computing techniques for LCDAS that are computationally efficient. Some key contributions from this work are parallel Additive Hough transform computation, efficient multiple lane detection techniques, robust vehicle detection techniques, and lane change decision aid system.
I also have a Masters of Engineering (MEng.) by research from NTU, which I did under the supervision of Assoc. Prof. Chang Chip Hong. My Master’s dissertation was on “Finite Field Multipliers for Elliptic Curve Cryptography.” I passed out of NTU with Bachelors of Engineering with specialization in VLSI design in the year 2004 with First Class Honors under Accelerated Bachelors Program.