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Autoblog Podcast #407

Episode #407 of the Autoblog Podcast is here, and this week, Dan Roth, Steven Ewing, and Sebastian Blanco talk about the Michelin Challenge Bibendum, the Toyota Mirai, and the BMW 3 Series falling off the Car and Driver 10Best list. We start with what's in the Autoblog Garage and finish up with some of your questions, and for those of you who hung with us live on our UStream channel, thanks for taking the time. Check out the rundown below with times for topics, and you can follow along down below with our Q&A. Thanks for listening! Autoblog Podcast #407: The video meant to be presented here is no longer available. Sorry for the inconvenience. Topics: Challenge Bibendum Toyota Mirai fuel cell 3 Series falls off Car and Driver 10Best list In The Autoblog Garage: 2015 Acura TLX 2015 Dodge Charger 392 Audi Prologue Concept Hosts: Dan Roth, Steven Ewing, Sebastian Blanco Runtime: 01:07:55 Rundown: Intro and Garage - 00:00 Challenge Bibendum - 18:32 Toyota Mirai - 28:20 C/D 10Best - 44:52 Q&A - 53:52 Get the podcast: [UStream] Listen live on Mondays at 10 PM Eastern at UStream [iTunes] Subscribe to the Autoblog Podcast in iTunes [RSS] Add the Autoblog Podcast feed to your RSS aggregator [MP3] Download the MP3 directly Feedback: Email: Podcast at Autoblog dot com Review the show in iTunes Podcasts Acura Audi BMW Dodge Toyota toyota mirai challenge bibendum

Ford GT dominates Le Mans qualifying, gets slapped with performance adjustment

Fifty years after Bruce McLaren and Chris Amon drove the Ford GT40 to victory at the 24 Hours of Le Mans, Ford is poised for a historic return to the Circuit de la Sarthe. The new Ford GT took the top two qualifying positions in the LMGTE Pro class, and four of the top five. Ferrari's 488 filled in the rest of the spots in the top seven, the first two from AF Corse. In other words, we're primed for a reboot of the classic Ford-Ferrari feud at this year's race. Or not, as the ACO, which organizes the 24 Hours of Le Mans, announced sweeping pre-race Balance of Performance (BOP) adjustments this morning that make this year's GT class anybody's race. In LMP1, last year's overall winner Porsche locked up the top two spots with the 919 Hybrid and will lead the entire field at race start. Toyota's two-car factory effort followed with qualifying times 1.004 and 2.170 seconds behind the pole lap. Audi rounds out the manufacturer-backed LMP1 class in fifth and sixth. Full qualifying results can be found here. The storyline for the GT cars is perfect - some say too perfect. Ford's class-leading times came after BOP adjustment to the Corvette Racing C7.R before qualifying. BOP is intended to level the playing field in the class by adjusting power, ballast, and fuel capacity. (Check out this explainer video for more, or even just if you love French accents.) But the process is riddled with unknowns and ripe for accusations of sandbagging. That is, if the Ford cars were intentionally slow in practice they could hope for BOP adjustment to improve their race chances. On the Corvette side, last year's GTE Pro winner went from the top of the field to the bottom, barely improving from practice to qualifying. If you think Le Mans is as rigged at the NBA Playoffs, well, it's not that simple. Because if Ford and Ferrari held back until qualifying - the eighth-place Porsche 911 RSR is three-and-a-half seconds off the class pole time - it was a pretty dumb strategy. This morning, the ACO tried to put things back in order by limiting the boost in the Ford GT's twin-turbo V6 and adding 11 pounds of ballast. Ferrari was also given extra weight but allowed more fuel capacity. The Corvette and Aston Martin teams were both given breaks on their air restrictors, which will allow their engines to make more power. Both Ford and Porsche also received extra fuel capacity.

The skinny on Delphi's autonomous road trip across the United States [w/videos]

Rolling out of an S-shaped curve along Interstate 95, just past Philadelphia International Airport, the final obstacle between the autonomous car and its place in history appeared on the horizon. So far, the ordinary-looking SUV had traversed the United States without incident. It had gone through tunnels and under overpasses. It circled roundabouts and stopped for traffic lights. Now, on the last day of a scheduled nine-day journey, it was poised to become the first autonomous car ever to complete a coast-to-coast road trip. First, it needed to contend with the Girard Point Bridge. Riding in a rear seat, "I saw that bridge coming, and I thought, 'Oh my gosh, this is going to be a grab-the-wheel moment," said Kathy Winter, vice president of software at Delphi Automotive. The car, an unassuming Audi SQ5 nicknamed Roadrunner, had been well-tested. Back in January, a few inebriated pedestrians fell flat in front of the car during a demonstration in Las Vegas. It was the quintessential worst-case scenario, and the car admirably hit the brakes. More than drunken louts, bridges present a sophisticated challenge for the six radar sensors that feed data to the car's internal processors. Instead of sensing solid objects, radar sensors can read the alternating bursts of steel beams and empty space as conflicting information. "They're a radar engineer's worst nightmare," said Jeff Owens, Delphi's chief technology officer. Girard Point Bridge, a blue skeleton of girded steel that spans the Schuylkill River, might be a bigger challenge than most. Traveling across the lower level of its double decks, the autonomous car's radar sensors had to discern between two full sets of trusses. Cross the Schuylkill, and Delphi's engineers felt confident they'd reach their destination: the New York Auto Show. For now, the sternest test of the trip lay directly in front of them. A Data-Mining Adventure Until that point, the toughest part of the journey had been finding an open gas station in El Paso, TX. Trust in the technology had already been established. The main reason Delphi set out on the cross-country venture with a team of six certified drivers and two support vehicles was to capture reams of data. What better way to do that than dusting off the classic American road trip and dragging it into the 21st century? They did exactly that, capturing three terabytes worth of data across 3,400 miles and 15 states.