Categories: AI/ML News

Researchers leverage shadows to model 3D scenes, including objects blocked from view

Imagine driving through a tunnel in an autonomous vehicle, but unbeknownst to you, a crash has stopped traffic up ahead. Normally, you’d need to rely on the car in front of you to know you should start braking. But what if your vehicle could see around the car ahead and apply the brakes even sooner?

Why did your robotaxi stop? New system helps predict self-driving car mistakes

Self-driving cars are often controlled by deep learning models that sometimes fail in unexpected situations. For instance, the car might inexplicably brake and block the path of an oncoming emergency vehicle. A human driver or passenger may need to react rapidly to prevent a collision.

September 3, 2026

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Build AI-driven policy creation for vehicle data collection and automation using Amazon Bedrock

July 15, 2025

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Sony Honda Mobility shows off its cool Afeela electric car features | The DeanBeat

July 6, 2024

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