Making self-driving cars safer in the rain and snow

The video discusses the challenges self-driving cars face in adverse weather, such as malfunctioning lidar sensors and cameras. An engineering team proposes a novel solution using Localizing Ground Penetrating Radar (LGPR) to map the terrain beneath roads, improving navigation. Tests show promising results, with minimal deviation in snowy and rainy conditions, potentially advancing autonomous vehicle deployment.

What are some of the difficulties self-driving cars face in bad weather?

• They cannot detect pedestrians.

• They drive too fast.

• Their sensors and cameras malfunction.

• They run out of battery quickly.

What new technology is being used to improve navigation for self-driving cars?

• Infrared sensors

• Ultrasonic sensors

• Satellite navigation

• Localizing Ground Penetrating Radar

What does LGPR help create for better navigation?

• A map of the soil, rocks, and roots under the road

• A map of the road surface

• A map of the sky

• A map of nearby buildings

How accurate was the new navigation system in snowy conditions?

• Within a foot

• Within a meter

• Within an inch

• Within a yard

What potential impact could the new navigation system have on autonomous vehicles?

• Increase their speed

• Reduce their cost

• Make them more fuel-efficient

• Bring them closer to real-world deployment