Foresight Articles

The Future of Transportation- Autonomous Vehicles

Consensus is growing among vehicle manufacturers that self-driving cars just aren’t perceptive enough to make them sufficiently safe. So now automotive engineers are considering using more sophisticated sensors and technology — tech that can see through fog and even look underground. The problem is that the cars can’t begin to figure out what’s around them. When it comes to autonomous vehicle engineering, perception has to be accurate enough to enable all obstacle detection at all conditions.

Until now, the standard model for autonomous cars has used some combination of various kinds of sensors — cameras, radar, ultrasonic sensors and lidar. However, it has become increasingly obvious that the standard model may not be enough. “Lidar is a fool’s errand,” Elon Musk said. “Anyone relying on lidar is doomed. Doomed! [They are] expensive sensors that are unnecessary. It’s like having a whole bunch of expensive appendices. Like, one appendix is bad, well now you have a whole bunch of them, it’s ridiculous, you’ll see.”

A 2019 study by Cornell University reinforces this claim. Researchers found that accuracy of a stereo camera is superior and can be a viable and low-cost alternative to lidar. The primary issue is that autonomous cars still can’t see well enough to safely maneuver in harsh weather conditions and detect any type of obstacle.

Foresight Automotive’s QuadSight® vision sensor is a four-camera system based on 3D video analysis, advanced algorithms for image processing and sensor fusion. QuadSight solution represents a new vision for autonomous vehicles – it achieves exceptionally accurate obstacle detection in harsh lighting and weather conditions including complete darkness, rain, haze, fog and glare.

Foresight Autonomous Holdings Ltd. (NASDAQ and TASE: FRSX)(“Foresight”) is a technology company engaged in the design, development and commercialization of sensor systems for the automotive industry. Through their wholly owned subsidiaries, Foresight Automotive Ltd. and Eye-Net Mobile Ltd., the Company has developed both “in-line-of-sight” vision systems and “beyond-line-of-site” cellular-based applications. Foresight’s technology combines stereo visible-light cameras and stereo long-wave infrared thermal cameras to provide accurate obstacle detection in harsh lighting and weather conditions. This solution combines the advantages of stereoscopic technology with DNN object recognition to provide accurate obstacle detection and classification.

QuadSight® vision system has been named a winner in the 2020 BIG Innovation Awards presented by the Business Intelligence Group. The BIG Innovation Awards recognize those organizations and people who bring new ideas to life, and change the way we experience the world. Designed for autonomous and semi-autonomous vehicles, “QuadSight’s innovative technology addresses the real-world need for obstacle detection accuracy capable of ensuring autonomous vehicle safety,” said Haim Siboni, CEO of Foresight. “This prestigious recognition from the 2020 BIG Innovation Awards further validates Foresight’s innovation and achievements in advancing vision systems for the automotive industry.”

For more information about Foresight Autonomous Holdings, please visit: https://www.foresightauto.com