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The hottest modern sports cars rendered as rally racers

The modern-day World Rally Championship a monumental amount of fun to watch – I should know, as I recently was lucky enough to head to the UK to watch WRC Wales Rally GB – but even the most monstrous of the current WRC cars are based on fairly pedestrian European hatchbacks. Back in the heyday of rally, the Group B era in the 1980s, much hotter cars were the basis of even more incredible competition machines, for the most part. Take the exotic Ford RS200, or the Lancia Delta S4 with its twin-charged engine. And the hatchback-based Group B cars were bonkers, too. So what would some of our favorite modern cars look like if Group B had never ended? A British site named CarWow hired an artist to reimagine everything from the Rolls-Royce Wraith to the Porsche 911 as a retro-inspired rally car, and they were kind enough to let us share the results in the gallery above. The gallery features an Alfa Romeo Giulia in Martini livery, an Audi TT in classic Ur-Quattro colors, a Fiat 500 Abarth sporting massive flares and a hood blister full of auxiliary lights, a new Ford Mustang in RS200 livery, a Lancia Delta in Alitalia colors, a Porsche 911 in Rothmans livery, a Renault-Alpine in classic blue, a Rolls-Royce Wraith tribute to the Jules cologne Corniche Coupe, and a relatively modern-looking VW Touran. So far, the favorite around the office is the incredible Mercedes-Benz S-Class that is an homage to the wonderful 300 SEL 6.8 AMG "Red Pig" that essentially put AMG on the map. Check out the gallery above and see which one you like the best. Related Video:

2020 Ford Police Interceptor Utility dominates Michigan State Police testing

The Michigan State Police has released its preliminary findings from testing the 2019 crop of police vehicles, and the results are a bit surprising. The consistent top performer of the bunch was the 2020 Ford Police Interceptor Utility, better known to civilians as the Ford Explorer. Specifically, the top performer was the model with the new turbocharged 3.0-liter V6. The Michigan State Police conducts acceleration, top speed, braking and lap time tests of all the available police vehicles. The 3.0-liter Police Interceptor Utility was the fastest to 60 mph at 5.77 seconds, had the highest top speed of 150 mph, and the best average lap time of 1:36.47. The lap time was particularly impressive as it was just over half a second faster than the next quickest car, the all-wheel-drive V8 Charger. View 13 Photos Still, the 2019 Dodge Charger gave the Explorer a serious run for its money. The all-wheel-drive V8 Charger was only 0.1 seconds behind the Explorer to 60 mph with a time of 5.87 seconds, and the rear-drive version was third quickest at 6.15 seconds. Both V8 Chargers were only 1 mph off of the Explorer's top speed, and the V6 example was third fastest at 141 mph. We already mentioned the all-wheel-drive V8 Charger was half a second off the Explorer's lap time, and the rear-drive variant was just over 1 second behind, giving it the third fastest average time. Dodge also took home braking bragging rights. The V6 Charger won out with a distance of 126.9 feet, followed by the rear-drive V8 Charger with 128 feet, and the V6 Durango Pursuit stopping at 128.8 feet. Now of course where there are winners, there are also losers. The slowest accelerating police car was the Ford Police Responder Hybrid Sedan, better known as the Fusion Hybrid, with a time of 9.24 seconds. At 8.59 seconds was the V6 Dodge Durango, and the V8 Chevy Tahoe with four-wheel-drive was third slowest at 7.98 seconds. Lowest top speed was 106 mph with the Ford F-150 Police Responder with the 3.5-liter turbocharged V6, followed by the V6 and V8 Durangos with 117- and 118-mph top speeds respectively. In braking, the Chevy Tahoes performed the worst with the rear-drive version stopping at 145.7 feet and the four-wheel-drive version stopping at 142.5 feet. The F-150 followed with 141.9 feet. When it came to lap times, the Fusion Hybrid lapped the slowest with a time of 1:46.31. The V6 Durango was about a second faster with a time of 1:45.45.

Ford partnering with MIT, Stanford on autonomous vehicle research

Ask any car engineer what's the biggest variable in achieving fuel economy targets, and he'll tell you "the driver." If one human can't understand human driving behavior enough to be certain about an innocuous number like miles per gallon, how is an autonomous car supposed to figure out what hundreds of other drivers are going to do in the course of a day? Ford has enlisted the help of Stanford and the Massachusetts Institute of Technology to find out.
Starting with the automated Fusion Hybrid introduced in December, MIT will be developing algorithms that driverless cars can use to "predict actions of other vehicles and pedestrians" and objects within the three-dimensional map provided by its four LIDAR sensors.
The Stanford team will research how to extend the 'vision' of that LIDAR array beyond obstructions while driving, analogous to the way a driver uses the entire width of a lane to see what's ahead of a larger vehicle in front. Ford says it wants to "provide the vehicle with common sense" as part of its Blueprint for Mobility, preparing for an autonomous world from 2025 and beyond.