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Waymo, Nexar present AI-based study to protect ‘vulnerable’ road users
Waymo, Nexar present AI-based study to protect ‘vulnerable’ road users-July 2024
2024-11-12 EST 09:13:16

Robotaxi operator Waymo says its partnership with Nexar, a machine-learning tech firm dedicated to improve road safety, has yielded the largest dataset of its kind in the U.S., which will help inform the driving of its own automated vehicles.

In its latest research with Nexar, Waymo has reconstructed hundreds of crashes involving what it calls vulnerable road users (VRUs), such as pedestrians walking through crosswalks, bikers in city streets, or high-speed motorcycle riders on highways.

Recommended Videos By leveraging over 500 million miles of Nexars driving data, weve been able to capture a wide range of driving events and environments, providing a more comprehensive picture of VRU safety than ever before, Waymo says in a blog on its website.

Related The National Highway Traffic Safety Administration estimates that in 2022 alone, 7,522 pedestrians were killed and more than 67,000 were injured in the U.S.

Yet, Waymo says data on collisions with VRUs remain scarce compared to vehicle-to-vehicle collisions, as many incidents do not get reported to the police or insurance companies.

Besides its own driving fleet, Waymo says other autonomous driving companies can use the collected data set to evaluate an automated systems performance in simulations ahead of deployment.

So far, Alphabet-owned Waymo operates the only functioning robotaxi service in the U.S., with a fleet of about 700 self-driving vehicles already on the road in Phoenix, Los Angeles and San Francisco.

Rival services still under development include General Motors Cruise, Amazons Zoox and Teslas Robotaxi.

Cruise had to stop operationslast year after one of its vehicles struck a pedestrian.And in October, regulators opened an investigation into 2.4 million Tesla vehicles equipped with its full-self driving (FSD) software following three reported collisions and a fatal crash.

Teslas self-driving technology relies on multiple onboard cameras to feed machine-learning models that, in turn, help the car make decisions.

Meanwhile, Waymos technology relies on premapped roads, sensors, cameras, radar, and lidar (a laser-light radar).

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