Inverted AI Secures $4M Funding to Enhance Autonomous Vehicle Development through Human Driver Simulation

Inverted AI Raises $4M to Develop Autonomous Vehicles via Simulation of Human Drivers with Generative AI
Inverted AI Raises $4M to Develop Autonomous Vehicles via Simulation of Human Drivers with Generative AI
(Image: Ansible Motion)

Inverted AI Secures $4 Million for Advancing Self-Driving Simulation

Vancouver-based company Inverted AI, known for using advanced technology to develop self-driving cars, shared on Thursday that it successfully secured $4 million in initial funding. The investment, led by Yaletown Partners and joined by backers like Blue Titan Ventures, Dasein Capital, Inovia Capital, Defined, and WUTIF, will be directed towards enhancing their simulation system, “Imagining the Road Ahead” (ITRA).

In simple terms, Inverted AI specializes in creating a virtual world that imitates real roads, vehicles, and drivers. They use what they call “nonplayer characters” or NPCs, which are controlled by advanced computer programs that mimic human behavior. The recent funding boost will specifically help develop ITRA, a core system allowing Inverted AI to provide realistic models for safe self-driving implementations.

Frank Wood, the company’s CEO, explains that Inverted AI’s technology makes computer-generated drivers behave just like real people by analyzing large amounts of video data. These simulations are essential for testing autonomous vehicles in various scenarios, including real-world locations or made-up situations that challenge the vehicles’ abilities.

Wood further highlights that using ITRA enables autonomous vehicle developers to create maps with diverse scenarios, including realistic NPCs that respond and act like human drivers. These computer-controlled agents can only “see” what’s in their immediate surroundings, just like real humans, including dealing with challenges like blind spots.

Enhancing “Imagining the Road Ahead” (ITRA) for Realistic Autonomous Vehicle Testing

Currently, Inverted AI offers different tools through an application programming interface (API) for autonomous vehicle developers. The Drive service provides AI-controlled drivers for vehicle simulations, with plans to include pedestrians in the future. Initialize allows developers to place AI-controlled agents in simulated scenarios, Scenario generates entire situations with vehicles and pedestrians, and Blame determines which agent caused a collision.

Yaletown Partners’ Eric Bukovinsky sees great potential in Inverted AI’s use of generative AI to advance adaptive systems and merge simulations with real-world applications. He believes the company has developed the leading foundational models for generative AI in human behavior.

The company intends to use the newly acquired funds to expand its research and products, particularly focusing on advancing ITRA technology for faster deployment of self-driving solutions on roads. In addition, Inverted AI has recently launched a new website featuring an interactive demo of its API. Researchers can sign up for a trial key to test their own robots and autonomous vehicles using the system.

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Source(s): Silicon Angle

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