Autonomy
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Autonomous off-highway vehicles

Autonomous Vehicles go beyond the blacktop

Autonomous off-highway vehicles are a growing presence around the globe, from Norwegian mines to Brazilian sugar cane fields, and while limited access sites foster more controllable environments, rough and tumble usage raises a host of other challenges.
Nathan Eddy
September 14, 2020
While the trend of autonomous driving is also catching on in off-highway vehicles, the use cases are very different compared to on-road vehicles where the main purpose is to move from Point A to Point B on their own with help of onboard sensors and systems.
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Sensory inputs

Sensory inputs

Liz Cuneo Kevin Jost
September 14, 2020
Better sensing technology, both on and off vehicle, is a must for safer, smoother, and more convenient systems for advanced driver assistance and greater levels of automation. Here is our curated roundup of the latest and greatest news from the CES 2020 show in Las Vegas.
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Autonomous vehicle opportunities and challenges

Autonomous vehicle opportunities and challenges

Recent industry developments are looking to save lives, reduce injuries, and spread mobility equitably, but education—of developers and consumers—is one important element to AV technology development and adoption.
John Challen
September 10, 2020
This year kicked off where 2018 finished when a huge number of developments were announced in autonomous and connected vehicles. The biggest platform for these reveals, demonstrations, and announcements was the CES 2019 Show in Las Vegas, which saw an unprecedented amount of automotive applications being showcased and a glimpse given to a world that is fast becoming a reality.
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Driven by data

Driven by data

The twin technologies of big data and machine technology will have to work together in order to propel autonomous vehicle development forward, and industry players from automakers to chipmakers are gearing up for a long and winding road.
September 10, 2020
Artificial intelligence (AI) and machine learning have become vital tools for the production of next-generation automated vehicles, particularly because of the need to recognize and react to the nearly infinite number of scenarios encountered on real-world roads.
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