New way to ‘see’ objects accelerates the future of self-driving cars

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Cornell researchers have discovered a relatively simple, low-cost method that enables autonomous cars to detect 3D objects with high accuracy. Kilian Weinberger, associate professor of computer science and senior author of the paper Pseudo-LiDAR from Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving, discusses the group’s research.

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About Author

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As editor of four magazines at UKi Media & Events James brings over a decade of writing about, and obsessing over, technology and cars to Automotive Interiors World, Stadia, Winter Sports Technology International and Auditoria. Responsible for commissioning, writing and editing each issue he’s covered the best (and worst) from around the industry on a continual search to feature the latest innovation or talking point on the next cover.

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