Partnership to lead the next generation of autonomous vehicles

Grounded in the vision of ensuring our global roadways improve from a safety standpoint, these two organisations will create a strong collaborative environment for their individual artificial intelligence and research and development teams.

HYUNDAI MNSOFT will leverage Netradyne’s dynamic crowd-sourced deep vision technologies for the development of HD Maps in its next generation vehicles.

“Netradyne’s vision-based road feature analytics will allow us to maintain the most technologically advanced HD maps,” said Byoungkeun Woo, VP of HYUNDAI MNSOFT. “With this agreement, we will make additional efforts to develop our HD maps for the safety of all autonomous vehicles.”

Netradyne has been in a competitive Proof Of Concept (POC) trail with HYUNDAI MNSOFT for close to a year, leveraging its Driveri camera to map parts of the United States in high definition.

While several competitors have participated in partnerships surrounding Light Detection and Ranging (LIDAR)-based mapping collaborations, Netradyne’s differentiated approach ultimately stood out to Hyundai as it relies on crowd-sourced deep vision analytics - a more affordable approach to HD Map generation which ultimately offers feasible dynamic updates.

“After going head-to-head with competitors within the space for nearly a year, Netradyne is looking forward to collaborating with an organisation as forward-thinking as HYUNDAI MNSOFT,” said Sandeep Pandya, President of Netradyne.

“We are proud to have been recognised as a technology leader in the dynamic vision-based HD map data generation, and as a provider of Driveri, the most advanced aftermarket driver safety monitor and real-time alerting solution.”

Driveri is a vision-based driver recognition safety programme that captures every minute of the driving experience, delivering safety managers a complete view of their driver's day, now including advanced HD Map data capabilities.

“With Driveri, real time, edge computing provides immediate updates,” explained David Julian, CTO of Netradyne. “Driveri mapping leverages a Simultaneous Localisation And Mapping (SLAM) approach to crowd-source updates for dynamic events such as accidents, or road construction, in addition to static elements such as lane markings, signs, signals and more.”

Close collaboration to develop HD maps globally between the AI research and development (R&D) and product teams at both HYUNDAI MNSOFT and Netradyne is expected to enable safer next-generation vehicles.

“The announcement made between HYANDAI MNSOFT and Netradyne speaks to the need for advanced AI and AV companies to work together to support advancing driver and fleet safety, location and tracking data and bring intelligent data to those adopting autonomous vehicle technology,” said Industry Analyst, Stephanie Atkinson, CEO of CompassIntel.com and Chair of IoT6 Exchange Summit.