StradVision developing animal detection software for autonomous vehicles

Posted On Friday, 06 March 2020 05:43 Written by
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StradVision has announced it is developing Animal Detection capabilities for its deep-learning based SVNet software. StradVision has announced it is developing Animal Detection capabilities for its deep-learning based SVNet software. Courtesy of StradVision

StradVision, which specializes in AI-based camera perception for ADAS systems and Autonomous Vehicles, has announced it is developing Animal Detection capabilities for its deep-learning based SVNet software

In the U.S. each year, there are more than 1.5 million deer-related accidents, which cause around 200 human deaths and 10,000 injuries, plus more than $1 billion in property damage.

StradVision CEO Junhwan Kim said the new software from StradVision, once deployed, will be a major game-changer for the camera perception industry.

“With the addition of Animal Detection, SVNet will have the ability to almost completely end the tragedies and property damage caused by vehicle incidents involving animal collisions,” Kim said. “Upon detection of an animal, SVNet will be able to assume control of the vehicle virtually at the speed of light, in scenarios where human reactions are not going to prevent the collision. We are truly excited about the possibilities for this technology in the U.S., where car-deer collisions are a problem, and in areas of Asia where animals are a common road obstacle.“

StradVision has long focused on Object Detection as a core function of SVNet, and this new technology will add Animal Detection as one of the standard object detection functions. The function would enable automakers to proactively stop the vehicle, or steer the vehicle around the animal, if the computer detects an imminent danger. Even more impressive, this function can accurately and swiftly detect animals in difficult conditions such as rain, snow, fog, darkness, and urban situations.

“We have also considered environmental conditions. Even in a road next to trees and branches and other conditions that could hide animals, SVNet maintains a high level of accuracy,” Kim said. “Other perception solutions are often confused in these situations and accuracy goes down, and you don't want that when there's a deer about to pop out of the woods.”

 

Matt M. Myftiu

Matt Myftiu has been a journalist for two decades with a focus on technology, NASCAR and autos.

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