Beautiful 1966 Ford Thunderbird Base Landau Top 2-door 6.4l on 2040-cars

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1964 Ford GT40 prototype to be auctioned in April

The Ford GT40 owns a firm spot on the list of the greatest American racecars ever made, being the first car from the United States to take an overall win in the 24 Hours of Le Mans. And now Mecum will auction what it claims is second-oldest GT40 still in existence at its Houston sale on April 12.
The story of the GT40 is fascinating. Henry Ford II attempted to buy Ferrari in the early '60s, but Enzo refused. Ford decided if he couldn't have them, then he would beat the Prancing Horse on the track. Ford went to Carroll Shelby and asked him to spearhead the program. The early cars combined a steel monocoque chassis with Ford's 4.2-liter V8 engine pumping out around 350 horsepower. The first prototype made its public debuted on April 1, 1964, at the New York Auto Show.
Shelby kept building prototypes, including GT/104, which is for sale here. This version featured a lighter steel chassis and was raced at Le Mans in 1964. However, a fire forced it to retire. It was then repainted and had a 4.7-liter (289-cubic-inch) engine fitted. The chassis had its best finish at the 1965 Daytona Continental 2,000 Kilometers where it finished third with Bob Bondurant and Ritchie Ginther behind the wheel. Later that season, it was shipped back to Ford where it was restored and displayed at auto shows until 1971 when the automaker sold it. Since then, it has had many private owners.

Three automotive tech trends to watch in 2018 and beyond

Every year, technology plays a bigger and bigger role in the auto industry. To put things in perspective, 10 years ago iPod integration and Bluetooth were cutting-edge in-car innovations, and smartphones and apps weren't yet a thing since the first iPhone was only about six months old. And I can't recall anyone talking about autonomous cars. Compare that to today, with mainstream coverage of the auto industry dominated by autonomous technology, along with electrification and almost every move made by Tesla. These three topics were the most significant trends of car tech in 2017 and I believe they will continue to shape the auto industry in 2018 and beyond. Let's examine them. Full Autonomy Gets Closer to Reality While there were many developments this year that indicate we're inching closer to fully autonomous vehicles, I was behind the wheel for hours to witness one of them. In October I had the chance to test Cadillac Super Cruise on a 700-mile, 11-hour drive from Dallas to Santa Fe – and had my hands on the wheel for maybe 45 minutes max throughout the entire trip. Super Cruise is far from making the Cadillac CT6 or any GM vehicle fully autonomous, and has limitations such as functioning only on pre-mapped main highways. While it simply adds a layer of lane centering to adaptive cruise control, the technology will go a long way in making mainstream drivers more comfortable with letting machines take over. On a separate front, GM is pushing ahead with fully autonomous vehicles and announced last month that it plans to launch of fleets of self-driving robo-taxis in several urban areas in 2019. While most automakers are also in the race to make autonomous cars a reality, GM's turbocharging of its efforts appeared to be in response to Waymo, which announced just weeks earlier that its Early Rider Program in the Phoenix area would go completely driverless. The Early Rider Program launched last April, offering the public a chance to ride in Waymo's autonomous Chrysler Pacifica minivans. In this new phase of testing, Waymo is using its own employees as guinea pigs instead of the public while the vehicles operate without a human behind the wheel, and takes another giant step forward for fully autonomous driving.

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.