A Slow-Moving Approach to Autonomous Vehicles

In a Bloomberg article, Guidehouse Insights discusses the different approaches to autonomous vehicle commercialization

May Mobility has been bringing in revenue from the public by providing short, slow rides for businesses and communities via autonomous vehicles (AV). 

In a Bloomberg article, Guidehouse Insights’ Sam Abuelsamid, principal research analyst, explained the differences between May’s approach to AVs vs. the more ambitious goals set by better-funded carmakers, and how this underscores the real state of autonomous driving. 

Recently, investors dreamed of a not-so-distant future of self-driving cars replacing ride-share drivers. However, with Cruise and Waymo both delaying public driverless services, the expectations for autonomous public vehicles have been reset. 

“Everyone working on this realizes it hit a wall,” Abuelsamid said. 

He went on to say that companies developing AV software have faced two big challenges; how the computer brain perceives image data gathered by cameras, and predicting what objects, such as pedestrians, will do so that the car can make a quick, reactive decision. 

When a car is moving slowly on routes with fewer objects, like May, it is easier to run AVs, which is what Abuelsamid believes makes the advanced approach from the likes of Cruise and Waymo such a technical challenge. Either way, he thinks that there will be a handful of companies that produce AV software. 

“In the next few years, the number of companies developing the software will be culled down significantly,” Abuelsamid said.

Read the Bloomberg Article
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