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AI rivals human drivers

Researchers in Germany have developed an autonomous AI system that is comparable to a human driver for detecting pedestrians and other road users.

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‘SuperGPS’ for urban roads

Researchers have developed an alternative positioning system using mobile phone networks and an atomic clock that is more robust and accurate than satnav in urban settings.

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Wi-fi loophole warning

Researchers in Canada have developed a UAV that can use wi-fi signals to see through walls. The device, nicknamed Wi-Peep, can fly near a building and identify and locate all the wi-fi-enabled devices inside it in a matter of seconds.

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Neural net nano-UAVs

A group of researchers has developed neural network algorithms that can work on nano-UAVs weighing as little as 10 g. The nano-UAVs are increasingly useful for monitoring applications, but struggle with complex autonomous operations with multiple objectives.

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Fast, low-power vision

Rather than using general-purpose high-performance vision processors for autonomous vehicles, Recogni and Renesas have developed an embedded platform, which can deliver up to 2000 TOPS.

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Data memory boost bid

A project called Memtonomy at Fraunhofer IESE, Germany, is aiming to tackle the memory storage challenge in driverless vehicles. The constantly growing use of sensors and AI components in driverless cars is creating the need for large amounts of data to be recorded, merged and analysed in real time.

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Easier driver takeover

Researchers at the EPFL in Switzerland have developed algorithms to allow people to take over control of driverless cars more easily. The team has used haptic shared control on the steering wheel to create a different way for the vehicle to interact with the driver.

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Ray-tracing sensor tests

Simulation firm rFpro has used ray tracing to develop software that can accurately reproduce environments to test sensors in autonomous vehicles. he company develops high-fidelity software for driver-in-the-loop (DIL) simulators, and 6 years ago started extending its technology to testing driverless cars.

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Green light for bus trial

An electric driverless bus is set to start operating on the city streets of Dunfermline, Scotland. The CAVForth 2 project will use the CAVstar Automated Driving System, which combines sensor fusion for cameras, Lidar and radar with a machine learning system. It was developed by Fusion Processing in Bristol, England.

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UAV is a heavy lifter

Flowcopter, in Edinburgh, Scotland, is developing a UAV that can carry up to 160 kg. The 500 kg UAV uses Digital Displacement transmission technology that is much lighter, more robust and less costly than an equivalent electric transmission.