Press Release

Brodmann17 adds advanced driver assistance software to Peachtree Corners’ Level 3 autonomous vehicle

Peachtree Corners – one of the nation’s first smart city environments powered by real-world connected infrastructure and 5G – announced that Brodmann17 is the first company to add its technology to Curiosity Lab’s Level 3 autonomous test vehicle. Brodmann17 will further develop and prove out its state-of-the-art software-only perception technology for assisted driving in real-world conditions.

“We’re proud to be one of the first innovators to have added our technology to Peachtree Corners’ and Curiosity Lab’s autonomous technology development vehicle, leveraging the open platform to demonstrate advanced driver assistance solutions (ADAS) in conditions that can’t be replicated in a closed environment,” said Adi Pinhas, CEO of Brodmann17. “We look forward to working alongside other technology developers and the city to generate invaluable data – ultimately helping us to make critical decisions. Overall, we appreciate the partnership with a leading smart city, which also serves as another launching point for our technology into North America.”

“We are delighted to welcome Brodmann17 to Peachtree Corners and Curiosity Lab, where the company is joining a phenomenal group of international companies that can collaborate on moving forward driver assistance and autonomous technologies in a living laboratory environment,” said Brandon Branham, chief technology officer and assistant city manager of Peachtree Corners. “Our environment is unique in that their engineering teams now have the advantage of being able to detect real vehicles, pedestrians, cyclists and other everyday obstacles as they further develop ADAS solutions for passenger and fleet vehicles. This is one of the best examples of how Curiosity Lab can help companies determine when their technologies are ready to scale. As consumers upgrade their vehicles, ADAS systems will play a significant role in driver safety. These also assist drivers with actions such as lane assistance and emergency braking, and they help prevent collisions by sending alerts to the driver. The work Broadmann17 is doing at Curiosity Lab may very well help save a life in the future.”

Brodmann17: International Software Innovator, Future-Forward ADAS Suite

The company’s proprietary technology is based on deep learning neural networks, utilizing commodity automotive-grade, low-power processors for edge computing to provide extremely accurate detection and alerts from forward collisions, Time-to-Collision (TTC) distance from other vehicles, pedestrians, cyclists and lane departures.

  • The system installed into Curiosity Lab’s Ford Edge autonomous test platform consists of an automotive grade camera mounted to the inside of the vehicle’s windshield, which is connected to an ADAS processor unit and a small tablet to visually display how the system quickly and accurately detects vehicles, pedestrians, lanes, traffic signs and other potential hazards to motorists.
  • The technology is also used by fleet managers to capture drivers’ traffic violations and potentially unsafe conditions. This allows fleet managers to address driver behavior, create focused training programs and improve fleet safety, as well as reduce costs and improve overall fleet efficiency.

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