StradVision to develop vision processing technology for autonomous buses

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StradVision, a developer of vision processing technology for AVs, has partnered with a global Tier 1 supplier to develop customized camera technology for autonomous buses.

The project will partner StradVision’s SVNet software with the NVIDIA Xavier chipset platform and will focus on three key areas: Object Detection (OD), Traffic Sign Recognition (TSR) and Traffic Light Recognition (TLR).

These three elements will play a key role in allowing the vehicles using the technology developed from this partnership to accurately navigate the roadways when in self-driving mode.

Junhwan Kim, CEO, StradVision, said, “As we determine our priorities for StradVision’s deep learning-based SVNet software, it’s important to recognize the significant role that mass transit plays in the lives of so many people worldwide. With the precise abilities of our software to detect objects and read traffic signs and traffic lights, we can push forward the arrival of autonomous mass transit vehicles as the wave of the future.”

StradVision’s SVNet software is designed to function properly, even in poor lighting or weather conditions. It features three key components: SVNet External, SVNet Internal and SVNet Tools. For this project, SVNet External will be the focus.

Other projects currently being developed using StradVision’s vision processing software include a Level 4 automated bus in Germany; a sedan in Germany; and SUV, sedan and bus projects in China.

By 2021, StradVision will have nearly seven million vehicles on the world’s roadways using SVNet software, which is compliant with standards such as Euro NCAP and Guobiao (GB) in China. StradVision is already deploying ADAS vehicles on Chinese roads.

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Dan joined UKi Media & Events in 2014 having spent the early years of his career in the recruitment industry. As deputy editor, he now produces content for the Autonomous Vehicle International website and supports the editor with the publication of each exciting new issue.

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