2009 Chevrolet Tahoe Lt Sport Utility 4-door 5.3l on 2040-cars

Auto blog

Consumer Reports declares most and least loved cars [w/video]

Consumer Reports is crunching the numbers from its annual owner-satisfaction survey, and part of that process is finding out how attached drivers are to their cars. CR simply asks readers of models up to three years old if they would buy the same vehicle again in light of their entire ownership experience, and tallies the results. After looking at the responses for about 350,000 vehicles, it turns out that people really love a certain California-built, electrically powered luxury sedan. That's right, this year's the overall winner was the Tesla Model S with a whopping 98 percent of owners saying they would purchase another one (the Model S also won this award last year, with 99 percent satisfaction). The Chevrolet Corvette Stingray came in a close second with 95 percent of drivers hoping to park another one in their garage. A few models weren't quite so favored, though. The Nissan Versa Sedan was the least loved model among its owners; a mere 42 percent said that they would purchase another. The aging Jeep Compass didn't do much better, with just 43 percent of drivers willing to buy the softroader again. On average, about 70 percent of owners say they would buy their car again, and only four cars ranked below 50 percent in CR's findings. Check out the video above to see some of the winners and losers in a few of CR's categories. If you're a subscriber, you can check out the full list on its website. Related Gallery Consumer Reports Most Loved Cars 2014 Related Gallery Consumer Reports Least Loved Cars 2014 News Source: Consumer Reports - sub. req., Consumer Reports via YouTube Chevrolet Ford Mazda Mercedes-Benz Porsche Subaru Tesla Ownership Videos car ownership

Next-gen GM SUVs caught wearing new boxy bodies [w/video]

We recently drove the brand-new 2014 Chevrolet Silverado and found it to be vastly improved compared to the outgoing model. And now that The General's pickup trucks have been squared away, it's time to focus our attention onto their passenger-friendly companions, the Chevrolet Tahoe and GMC Yukon (above).
Our spy photographers have passed along a huge smattering of photos (and a video), showing the new SUVs out testing. Both the short- and long-wheelbase models were spied, and while the overall shape of the vehicles hasn't changed all that much, we expect the updates to be substantial. In addition to new powertrain options, like GM's new small-block V8, we expect the interiors of both SUVs to get massive makeovers, providing better materials throughout their cabins and quieter, more refined environments. We even hear that some trick new suspension developments may be in store for upper-end models.
Visually, these spy shots allow us to see a couple of new details on the SUVs' front and rear fascias, including LED running lamps on the Yukon and some interesting LED taillamp treatments. Of course, the obvious third party missing from this set of photos is the Cadillac Escalade, but as we reported earlier, GM is working to further differentiate the 'Slade from the rest of the fullsize SUV lineup, and is working to make the new model "much less ostentatious."

Watch how Corvette Racing's new collision-avoidance radar system works

When it comes to technology used in racecars, we generally expect it to trickle down to production cars, not the other way around. Well, Pratt & Miller has developed a new rear-facing radar that operates in a similar fashion to what we're used to in modern blind spot detection systems, only it is also capable of tracking cars as they approach and relaying vital information to the driver via a large display screen.
The innovative radar system debuted at last weekend's 12 Hours of Sebring for Corvette Racing, and this system makes perfect sense for endurance races like this since the cars sometimes have to drive through the night and in poor weather conditions.
The radar can detect cars even with poor visibility, and uses easy-to-distinguish symbols for the driver to identify.