1995 Ford Mustang Gt Coupe 2-door 5.0l on 2040-cars

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Recharge Wrap-up: Ford's "snowtonomous" Fusion Hybrid, Porsche eyes battery makers

Bosch and Panasonic are vying to be the battery supplier for Porsche's electric sports car based on the Mission E concept. While Bosch's costs may be higher, its solution would offer simpler logistics. Panasonic is already well established as a battery maker, providing the packs for the Porsche car's rival, Tesla. "We're in the final stage of making a decision," says Porsche CEO Oliver Blume, declining to comment on specific manufacturers. Neither Bosch nor Panasonic provided comment. Read more from Automotive News. Renault will supply a fleet of 150 Renault Zoe EVs for a smart solar charging project in Utrecht, Netherlands. The project involves the installation of 1,000 EV chargers powered by 10,000 photovoltaic panels. The Renault Zoes would be used as part of a carsharing program powered by the solar chargers. Renault and its partners will also implement a vehicle-to-grid system to provide energy during peak demand from the solar chargers and connected EVs. Read more in the press release from Renault. Ford has been testing an autonomous Fusion Hybrid prototype that is capable of driving itself in snowy conditions. Ford uses 3D mapping to scan the drive route. Its LiDAR laser mapping can even detect single falling snowflakes. It collects and processes up to 600 gigabytes of data per hour, comparing its environment to saved maps, a process that helps establish location more precisely than GPS. In addition to the LiDAR systems, the car is also equipped with cameras and radar to help it navigate. Eventually, the car could even be able to clean off its sensors when it detects loss of performance from ice and dirt. Read more in the press release below. FROM AUTONOMY TO SNOWTONOMY: HOW FORD FUSION HYBRID AUTONOMOUS RESEARCH VEHICLE CAN NAVIGATE IN WINTER DEARBORN, Mich., March 10, 2016 – Driving in snow can be a slippery challenge, with the potential for one blizzardy gust to white-out your field of view – a situation faced by the majority of people in the United States. So if self-driving cars are to become a reality – and they almost certainly will – they must be able to navigate snow-covered roads. In its quest to bring self-driving vehicles to millions of people around the world, Ford reveals six facts about its technology that allows for a car to drive itself in snow. 1. Mapping the way: Ford first creates high-resolution 3D maps using LiDAR technology to scan the area its autonomous vehicle will later drive in the snow.

Chrysler called out over lackluster Ram Runner by racer who helped develop it

Fans of off-roading and desert blasting might recall that Chrysler offers an aftermarket conversion that can turn a Ram 1500 into a road-legal desert racer, called the Ram Runner. The kit, sold through Mopar, includes some significant suspension upgrades, body tweaks and a brawnier cat-back exhaust for the truck's 5.7-liter V8.
Considering all of this, comparisons with the almighty Ford F-150 SVT Raptor are common. Among the off-road community, that makes these two a sort of Chevrolet Camaro and Ford Mustang for people that prefer driving on dirt. In the Race-Dezert forum, the discussion as to which truck was better was proceeding as normal - Ram fans said their piece and Ford fans said theirs. Then, a man named Kent Kroeker offered up his two cents.
See, Kroeker is a Baja racer, and the man that helped develop the Ram Runner. Despite his association with the truck, though, he had some less than kind words for Chrysler and the Ram Runner.

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.