That’s a key driving force behind sensor fusion, which combines multiple types of sensors to achieve safe autonomous driving. All Level 2 or higher vehicles depend on sensors to “see” their ...

When the DMV requires corrective lenses to issue a license, no one blinks; seeing clearly is a prerequisite for safe d ...

A research team has developed autonomous driving software that allows inexpensive sensors to detect transparent obstacles ...

That seemingly small difference can add up over time when driving for long distances ... have hood ornaments anymore?] Chunky autonomous vehicle sensors can complicate things.

Autonomous driving systems, their paper states, require a massive amount of sensed data to train their combined deep neural networks. Yet common sensor hardware migrations are a problem for ...

How autonomous vehicles might learn better driving behaviors is another complex part of the equation. Although sensor-strewn autonomous vehicles collect vast real-world road data every day ...

As autonomous driving technology heats up ... Nvidia, by contrast, takes a multi-sensor approach. Its platforms integrate data from cameras, lidar, and radar to create a more comprehensive ...

In order to answer the question, it's important to know there are criteria that separate autonomous driving from level ... Radar, LiDAR, ultrasonic sensors, and cameras located throughout the ...

Aurora Innovation's president Ossa Fisher talks about an autonomous driving system which allows ... or challenges the Aurora technology faces. Sensors track up to a quarter-mile ahead in all ...