Big Data with Self Driving Car

Self-driving Cars Will Create 2 Petabytes Of Data, What Are The Big Data Opportunities For The Car Industry?18 JUL 16911 views 133 shares floq.to/AQP1x Earlier I showed how Ford is driving in the right direction with big data, but basically the entire automotive industry should take advantage of the benefits of big data. Especially the automotive industry, where there are many moving parts that can be improved with sensors for data collection. When sensors within cars are combined with data from satellite navigations such as TomTom and traffic conditions, cars are becoming smarter rapidly and it won’t be long before they can drive independently, as Google already proved is possible. There are a many opportunities with the sensors. Cars outfitted with sensors have the potential to identify unusual events in real-time and to proactively take actions on potential performance issues. A car owner can be informed upfront that a problem is about to happen and could even make an appointment with the nearest car maintenance workshop. In the future when a car owner has linked its agenda to the car, the car can make the appointment directly into the agenda of the car owner and the nearest maintenance workshop. Although that might sound a bit futuristic, the onboard sensors already give the manufactures a lot of information about how the cars are used. How fast someone drives or hits the brakes and how the cars respond to this. The behavior of the driver and the performance of the car can be monitored 24/7. It will help car companies to quickly pinpoint the areas for upgrading and adjust the car appropriately. Time to market for new cars will be shortened. The self-driving car already is a true data creator. With all the sensors to enable the car to drive without a driver, it generates nearly 1 Gigabyte every second. It uses all that data to know where to drive and how fast to drive. Building a scalable platform to hold and leverage such volume of data is crucial. In this talk, we will address how Jingchi builds such a platform.

Chen builds big data platform at Jingchi for self-driving car tasks such as perception and localization. Before this, she worked at Uber as a software engineer since 2015, where she has built several active services (such as streamio, eater-surge service). Prior to joining Uber, she worked on BigTable product at Palantir, an interactive large-scale data analytical platform used by several influential clients then. Before that, she spent 4 years in PhD program at Northwestern University and focused her researching on scaling data mining in big data.