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Ford Mustang Mach-E fails Sweden's moose test

The infamous moose test has claimed another casualty. This time it's the Ford Mustang Mach-E AWD Long Range, which was tested in an electric four-way alongside the Tesla Model Y, Hyundai Ioniq 5 and Skoda Enyaq iV (an electric utility vehicle closely related to the Volkswagen ID.4 that is sold in the United States). According to the Swedish testers at Teknikens Varld, Ford's electric car not only failed to hit the speed necessary for a passing grade, it didn't perform well at slower speeds, either. To pass the outlet's moose test, a car has to complete a rapid left-right-straight S-shaped pattern marked by cones at a speed of at least 72 km/h (44.7 miles per hour). The test is designed to mimic the type of avoidance maneuver a driver would have to take in order to avoid hitting something that wandered into the road, which in Sweden may be a moose but could just as easily be a deer or some other member of the animal kingdom elsewhere in the world, or possibly a child or car backing into the motorway. Not only is the maneuver very aggressive, it's also performed with weights belted into each seat and more weight added to the cargo area to hit the vehicle's maximum allowable carrying capacity. The Mustang Mach-E only managed to complete the moose test at 68 km/h (42.3 mph), well below the passing-grade threshold. Even at much lower speeds, Teknikens Varld says the Mach-E (which boasts the highest carrying capacity and was therefore loaded with more weight than the rest of the vehicles tested in this quartet) is "too soft in the chassis" and suffers from "too slow steering." Proving that it is indeed possible to pass the test, the Hyundai and Skoda completed the maneuver at the 44.7-mph figure required for a passing grade and the Tesla did it at 46.6 mph, albeit with less weight in the cargo area. It's not clear whether other versions of the Mustang Mach-E would pass the test. It's also unknown if Ford will make any changes to its chassis tuning or electronic stability control software, as some other automakers have done after a poor performance from Teknikens Varld, to improve its performance in the moose test. Related video:

Ford cleans up painting process with cameras

Knowing how the bacon gets made rarely entices us and, in the same vein, the same usually goes for knowing about how new cars get painted. But in both instances, however, quality - or a lack thereof - is instantly obvious. In terms of the latter, Ford is showing off its new paint quality process with 3D Dirt Detection Technology to find imperfections in vehicle paint more easily and more quickly.
This process - being performed on the F-150 SVT Raptor above - uses 16 computer-controlled cameras to create a three-dimensional model (inset) of the vehicle to detect flaws in the paint including dirt particles, which can then be buffed out manually. Ford says this new technology cuts down on time spent looking for paint flaws and gives workers more time to correct those that are discovered.
Currently, Ford only uses its 3D Dirt Detection Technology system at three factories (the Dearborn, MI facility, along with those in Louisville, Kentucky and Valencia, Spain), but it will soon spread to five more plants in North America. Ford has released a video and press release for this innovative and unexpectedly interesting process, both of which are posted below.

Ford looks to space robots to improve car-to-car communications [w/video]

Ford has partnered with St. Petersburg Polytechnic University for three years to research various kinds of connected vehicle communications. The university tie-up is part of its study of space robots, NASA systems created to enable space-to-Earth communication, and the university's own development of systems that enable communication between the International Space State and Earth.
The objective is for Ford to engineer layers of robust networks and redundancy systems that will allow your car to speak to other cars, to emergency vehicles, to infrastructure like traffic lights and buildings, and to the cloud. Benefits would come in just about every area of transit, from avoiding accidents, to getting medical workers to an accident more quickly, to improving the flow of traffic during rush hour.
Check out the press release below for details on what Ford wants to learn from the JUSTIN Humanoid and NASA Robonaut R2, and a video of technical leader Oleg Gusikhin discussing his interest in the project.