Rohit, Week 2.5 at the Berkeley Deep Drive Lab

After I learned the basics of how to use and write code in Python my doctorate student Mr. Long Xin gave me a simple task so that I could learn how to write code to help with data analysis of raw data using python. My task was to replicate and manipulate the data in order to calculate the average velocity of a vehicle as it passed through an intersection. The data was captured by an array of cameras on a high rise building located right next to the intersection. The raw data may seem imposing at first as it look like a string of random numbers, but in reality there is a specific way to decode and understand what the actual data means. For example the first number in each entry is the individual vehicle id for example 284 refers to a single vehicle and all entry's beginning with 284 refer to the values recorded for that unique vehicle. The rest of the values correspond to other terms such as velocity over a tenth of a second etc. This assignment helped me learn how to apply python in order to simplify and calculate data easily from hundreds of individual entries without having to manually enter all the individual values of velocity and then adding them to calculate the mean  velocity over the recorded period.

In terms of activities outside of the lab living in Berkeley with Alan has been fun, our apartment building has a Trader Joe's on the first floor, which means groceries are not an issue. We also have a washer and dryer in our apartment, which is also another key convenience aspect. Over the weekend we went to San Francisco and explored the city.