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 electric cars. 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 self-driving vehicles 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 stereo camera a viable and low-cost alternative to LiDAR.

Sandia National Laboratories (SNL) has announced that it has set up an academic research coalition to help create artificially intelligent aerospace systems to control hypersonic missiles and other complicated vehicles in challenging environments. Called Autonomy New Mexico (NM), the organization consists of numerous US universities and aims at making hypersonic craft capable of autonomously controlling their own flight.