Nikhil Gosala

I was leading the Perception team at AMZ Driverless which was working towards building a fully autonomous race car for the Formula Student Driverless competitions.

I headed the Software Architecture module at the AMZ Driverless team wherein we successfully built an autonomous race car for the Formula Student Driverless season 2019. We had a very successful season and we won both the competitions (Formula Student East and Formula Student Germany) that we took part in. The videos of some of our runs have been listed below! Acceleration - https://youtu.be/OX8RSyF9mnw Autocross - https://youtu.be/sxqkt_ydOkY Trackdrive - https://youtu.be/gcnngFyWnFQ

I interned with the Perception team at nuTonomy for a period of 6 months wherein I developed an algorithm to perform extended tracking of dynamic objects in real-time using measurements from Radar sensors alone.

I was responsible for the entire LiDAR pipeline of the autonomous race car "gotthard driverless" wherein my role was to perceive the environment using a LiDAR sensor. One of the key achievements was the estimation of cone colour using LiDAR only, which resulted in the car having a fully redundant perception system. This meant that the car could navigate through the track even if one of the perception sensors failed.