Uber Crash Proves Night Vision Crucial for Autonomous Cars

May 29, 2018
Autonomous car researchers have been opening to the need to teach robots how to drive in the dark.

May 29, 2018—Autonomous car researchers have been opening to the need to teach robots how to drive in the dark, reported Bloomberg.

After a fatal crash by an Uber self-driving SUV in Arizona, the crash was recreated using heat seeking, thermal-imaging sensors. The night vision technology clearly identified the pedestrian more than five seconds before impact, according to the report.

Companies such as Seek Thermal, which recreated the Uber crash, and headlight makers such as Osram have been pushing thermal and infrared sensors as the missing link in autonomous driving.

Sponsored Recommendations

Best Body Shop and the 360-Degree-Concept

Spanesi ‘360-Degree-Concept’ Enables Kansas Body Shop to Complete High-Quality Repairs

How Fender Bender Operator of the Year, Morrow Collision Center, Achieves Their Spot-On Measurements

Learn how Fender Bender Operator of the Year, Morrison Collision Center, equipped their new collision facility with “sleek and modern” equipment and tools from Spanesi Americas...

Maximizing Throughput & Profit in Your Body Shop with a Side-Load System

Years of technological advancements and the development of efficiency boosting equipment have drastically changed the way body shops operate. In this free guide from GFS, learn...

ADAS Applications: What They Are & What They Do

Learn how ADAS utilizes sensors such as radar, sonar, lidar and cameras to perceive the world around the vehicle, and either provide critical information to the driver or take...