Australian connected vehicle (CV) technology developer Cohda Wireless has announced the porting of its vehicle-to-everything (V2X) software stack on Nvidia’s Drive AI-based car supercomputer, and the fusing of V2X and surround vision target classification.
The integration of Cohda’s V2X software extends the abilities for vehicles to detect threats beyond line-of-sight, for example those around blind corners, over the crest of hills, and behind large trucks. Cohda has been involved in vehicle trials since 2006, and now 60% of global V2X trials use the company’s technology.
Deployments of its technology have included the world’s first production vehicles, tough underground mining environments, major commuting projects, pioneering truck platooning initiatives, and smart city programs to combat congestion. V2X, which incorporates vehicle-to-vehicle (V2V), vehicle-to-infrastructure (V2I) and vehicle-to-pedestrian (V2P) communications is widely regarded by automotive and urban planners as a necessary technology for safer, less congested roadways and an essential stage for the eventual widespread deployment of autonomous vehicles.
The Nvidia Drive platform combines artificial intelligence (AI), deep learning, sensor fusion, and surround vision, to enable autonomous driving. The system is capable of understanding in real time what is happening around the vehicle, precisely locating itself on a HD (high definition) map, and planning a safe path forward. Designed around a diverse and redundant system architecture, the Nvidia Drive platform is built to achieve ASIL-D, the highest level of automotive functional safety.
As a global leader in mobile, outdoor communications, Cohda’s V2X solutions, which support both wireless 802.11p and 5G mobile networks, provide cars with ‘360° awareness’, detecting hidden threats by extending the horizon of awareness beyond what the driver can see, or what the onboard sensors can detect.
Cohda solutions are distinguished by their ability to ‘see’ beyond the vehicle-centric perspective by gathering and synthesizing data from sensors on nearby vehicles and roadside infrastructure, creating a much broader zone of awareness.
“We are striving to make the dream of CAVs a reality,” said Cohda CEO Paul Gray. “Integrating our technology with the robust Nvidia platform was extremely important for us. The decision to work with Nvidia was a simple one for Cohda.”
