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Apr 23, 2019

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

Posted by in categories: robotics/AI, transportation

The laser sensors currently used to detect 3D objects in the paths of autonomous cars are bulky, ugly, expensive, energy-inefficient – and highly accurate.

These Light Detection and Ranging (LiDAR) sensors are affixed to cars’ roofs, where they increase wind drag, a particular disadvantage for . They can add around $10,000 to a car’s cost. But despite their drawbacks, most experts have considered LiDAR sensors the only plausible way for to safely perceive pedestrians, cars and other hazards on the road.

Now, Cornell researchers have discovered that a simpler method, using two inexpensive cameras on either side of the windshield, can detect objects with nearly LiDAR’s accuracy and at a fraction of the cost. The researchers found that analyzing the captured images from a bird’s-eye view rather than the more traditional frontal view more than tripled their accuracy, making a viable and low-cost alternative to LiDAR.

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