world with many kinds

in news •  4 years ago 

This past winter, our team hit a major milestone. Our driverless vehicles surpassed 10 million kilometers (more than 6 million miles) in autonomous mode. The majority of these kilometers were driven in Moscow, one of the most challenging cities in the world with many kinds of bad weather throughout the year.

Difficult weather conditions pose a challenge for self-driving vehicles. They not only reduce visibility but also make road surfaces more slippery. These conditions create different traffic dynamics and thus impact the cars’ decision-making on the road. Since starting our driverless project, we have never taken any shortcuts. We have always been focused on creating a system that can perform in all weather conditions.

In Russia and abroad, this past winter was one for the record books. On some days in Moscow, snowfall amounts broke 50-year records. But despite these difficult conditions, our driverless cars operated throughout the whole winter season. Today, we’re going to talk about the impact winter weather has on driverless technology, and how we ensure that it performs flawlessly even on the snowiest of days.

Filtering snow from the lidar point cloud

Snow immediately brings one issue to mind — impaired visibility. As some of the lidar laser beams reflect off the snow, they are prevented from reaching their target. Fortunately, our driverless vehicles generate over a million beams per second, guaranteeing that a significant number reach their intended objects, even if some are reflected. We enhance the lidar performance in the snow by implementing neural networks to filter snow from the lidar point cloud which enhances the visibility of objects and obstacles around the vehicle. Take a look at it in action:

Exhaust fume condensation

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