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Uber Publishes Information on How They Power Self-Driving Cars

Published on Mar 6, 2020 at 8:30 am in Technology.

On March 4, 2020, Uber published a post detailing the technologies they use to test, validate, and deploy autonomous vehicles. While Uber has experienced setbacks with their self-driving cars, this information reveals what their next steps are and how their technology could impact the rideshare industry.

According to Uber in an article from VentureBeat, the most important component of their self-driving technology is VerCD, which is a set of tools and microservices developed specifically for prototyping autonomous vehicles. It has the ability to track different processes and ensure vehicles follow the necessary stages to operate safely on roadways.

VerCD also maintains an inventory of data that can be used for machine learning. This means that the self-driving cars perform better over time. They also have implemented daily and weekly training jobs for the vehicles to improve object detection and path prediction models. This means that bugs have the potential to be fixed in a matter of days.

The data VerCD collects includes images from cameras, lidar point and radar information, the vehicle’s location, speed, and acceleration, and map data. It takes that data and separates to training, testing, and validation to improve vehicle accuracy and traveling abilities.

Depending on how a vehicle performs, VerCD designates test runs as successful, aborted, or failed. If a vehicle is aborted or fails, the engineer has the option of rebuilding it with a new set of parameters.

When it comes to testing self-driving cars, Uber hasn’t had the best of luck. With fatal accidents and other malfunctions having happened, they’ve had to cease driverless car testing in cities across the country at various times. As testing is starting to happen again, the information they’ve released could be looked at as an attempt at greater transparency.

As with the May 2018 self-driving car accident in Tempe, Arizona, there’s the chance autonomous vehicles could cause accidents. With that accident, the National Transportation Safety Board determined the rideshare company has disabled the automatic emergency braking system, which resulted in a woman’s death. The VerCD system is supposed to reduce the risk of an incident like that happening again.

Even with the most advanced technology, a minor miscalculation could result in a serious or even fatal wreck. Depending on the circumstances surrounding the crash, the rideshare company could be held responsible for the related losses. If you have questions about Uber accidents and liability, contact the Rideshare Law Group for more information.