The company landed at the 2024 Farnborough International Air Show this week with an update on its progress, with President & COO Barry Matusmori presenting on the company’s journey, the aircraft’s capabilities, and an update on aircraft flight operations.
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The autonomous vehicle technology supplier is adapting its tech to industrial applications like the delivery of frac sand with no one inside the cab for Atlas, building on other recently announced non-long-haul use cases like with Textron Systems to showcase driverless technology in military off-road environments.
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With the $133 million in Series C funding, the company believes it has cemented its position as a leader in the space with its “world’s first” fully electric, driver-optional, smart tractor and Wingspan Ag Intelligence farm-management platform to expand into more agricultural markets.
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At the Goodwood Festival of Speed last weekend, the new AV-24 racecar piloted by an artificial intelligence driver developed by the PoliMOVE-MSU team reached a top speed of 111.2 mph and finished in 66.37 s, breaking the previous autonomous record held by Roborace since 2019.
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A new study from the auto insurance industry research firm confirms that partial automation in vehicles does not confer additional safety benefits beyond those of crash-avoidance features like front automatic emergency braking.
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Building on CNH’s acquisitions of Raven, Augmenta, and Hemisphere that are driving New Holland’s autonomy offerings for row-crop and broad-acre farmers, Bluewhite’s technology will help specialty-crop customers address immediate challenges such as labor shortages and rising operational costs.
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The company will use the $25 million in funding to expand the use of its high-performance, automotive-grade radar across a variety of applications such as autonomous driving, smart cities, and health tech.
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For the winning entry showcased at the Computer Vision and Pattern Recognition conference running this week in Seattle, Nvidia used its Hydra-MDP to ingest vehicle trajectory history and camera and lidar data at a reduced frame rate and generate the optimal vehicle path as an output in a simplified end-to-end architecture said to optimize pipelines with less code and better performance.
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The AV service, in partnership with Detroit Office of Mobility Innovation and the Michigan Mobility Collaborative, will provide free rides to older and disabled downtown residents using AVs with May Mobility’s Multi-Policy Decision Making technology to navigate city streets.
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The company’s latest platform harnesses the latest in artificial intelligence, network optimization, and video compression to equip OEMs and autonomous vehicle companies to easily adopt the technology and offer a premium remote-driver service.
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