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New Audi design chief Massimo Frascella shaped cars for Jaguar Land Rover

At the Audi brand, style and design have long been a high priority; think the super sleek and sexy A7 sedan, the Bauhaus-inspired TT coupe, the single-frame grille that instantly identified the marque with its down-the-road graphics. So when the Bavarians install a new head of design, that’s also worth a look. Massimo Frascella is that person, a 52-year-old Italian designer who this summer will succeed Marc Lichte. Lichte ran Audi design since 2014 and will take up a new role within the Volkswagen Group. Frascella, a student at the Istituto d`Arte Applicata & Design in Turin, ignited his career at Stile Bertone, and his resume after that evolves impressively. He subsequently held positions at Ford Motor Company and Kia, and since 2011, Frascella has held senior positions at Jaguar Land Rover. He was responsible for the creation of several models: Discovery Vision Concept (2014), Discovery Sport (2014), Discovery (2016), Velar (2017), Evoque (2019) and Defender. In 2019 he became creative director of Land Rover and in 2020 design director. He was also instrumental in the development of the range of new electric Jaguars that are in the works. “Joining Audi is a very special moment for me,” Frascella said. “I am deeply honored to assume the role of chief creative officer and to guide such a talented team in shaping the future of the brand to new heights of innovation and distinction. I believe in the emotional power of design to inspire, connect, and drive change, and I am here to nurture and promote creativity as the beating heart of our brand.” Looking back a couple of decades, it was one of FrascellaÂ’s predecessors who helped to cement AudiÂ’s reputation in automobile design: Walter de Silva. De Silva was appointed head of Audi design in 2002. From 2007 to 2015, he supervised the design strategy for the entire Volkswagen group, including the TT, the Scirocco, the Passat and the Golf. Not a bad list of achievements, but in a interview several years ago, de Silva said that he considered the 2007 Audi A5 coupe the pinnacle of his automotive design art, citing its “sex appeal, the shape of the lights, the architecture.” Design/Style Audi Jaguar Land Rover Volkswagen Automotive History

Stanford goes from Pikes Peak to Thunderhill with autonomous Audi TTS

In the years since Stanford University engineers successfully programmed an Audi TTS to autonomously ascend Pikes Peak, the technology behind driverless cars has progressed leaps and bounds. Back then the Audi needed 27 minutes to make it up the 12.42-mile course – about 10 minutes slower than a human driver. These days, further improvements allow the vehicle to lap a track faster than a human. The researchers recently took their autonomous TTS named Shelley to the undulating Thunderhill Raceway Park, and let it go on track without anyone inside. The Audi reportedly hit over 120 miles per hour, and according to The Telegraph, the circuit's CEO, who's also an amateur racing driver, took some laps as well and was 0.4 seconds slower than the computer. To make these massive technological advancements, the Stanford engineers have been studying how racers handle a car. They also hooked up drivers' brains to electrodes and found the mind wasn't doing as much cognitively as expected. It instead operated largely on muscle memory. "So by looking at race car drivers we are actually looking at the same mathematical problem that we use for safety on the highways. We've got the point of being fairly comparable to an expert driver in terms of our ability to drive around the track," Professor Chris Gerdes, director of Stanford's Revs Program, said to The Telegraph. With progress coming so rapidly, it seems possible for autonomous racecars to best even elite drivers at some point in the near future. Related Video:

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.