HIGH 5! Here is the news update of the latest trends from the global technology and startup scene. HIGH 5 is published by Lab1886. This week’s topics are:
Robots anticipate human movements +++ Converting vehicles into EVs +++ Image recognition for autonomous vehicles +++ Multimodal app Jelbi +++ Electric robo-taxis for Los Angeles
Researchers at MIT have developed an algorithm which robots can use to predict movements by human beings. This could be especially relevant to production lines: Instead of freezing whenever humans approach them, industrial robots would remain smoothly involved in the man-machine workflow. This advanced technology could also help specialist robots care for elderly people living at home.
German company E-Cap Mobility specializes in converting conventional vehicles into electric vehicles. And now the company is also upgrading construction machinery for the electric age, as in the example of their converted paving machine. The e-paver is equipped with an electric motor and replaceable lithium-ion batteries, as well as a powerful 48-volt system. Their next conversion project is a 40-ton tractor-trailer…
Source: Elektroauto News (German)
To enable autonomous vehicles to recognize objects correctly, Taiwanese IT company Linker Networks has developed an automatic image recognition algorithm. The AI uses transfer learning technology to automatically label images, and is capable of eliminating the time-consuming manual identification and classification of images by human workers. The system could provide a further boost for machine-learning technology in autonomous vehicles.
Source: Microsoft Asia News Center
Jelbi for iOS and Android – a multimodal mobility app developed by Berliner Verkehrsbetriebe (BVG) and Lithuanian IT company Trafi – is now undergoing trials. From planning routes to buying tickets, users can choose between public transit services, Emmy e-scooters, the CleverShuttle ridesharing service or the Berlkönig ride-hailing service (provided by BVG and Daimler). The choice should soon include e-scooters from Tier Mobility.
Source: Electrive.net (German)
In Los Angeles, 80 percent of all trips are made by car, five percent by public transit and just one percent by carsharing, ride-hailing or bike-rental services. A McKinsey study sees one possible solution in self-driving e-taxis and e-shuttles, which could handle most commuter traffic, shopping trips and trips to leisure activities. By 2030, electric robo-taxis could make up to 20 percent of today’s traffic obsolete.
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