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These are the top luxury cars bought by people entering the segment for the first time

Let's say you just got a big promotion at work or the kids are moving out of the house, and you finally have some extra money. You decide to blow it all at once and treat yourself by upgrading your ride. Naturally, you look to a luxury automaker. What do you choose?
Models like the Audi A3 and Mercedes-Benz CLA-Class may be tailor-made to introduce buyers to the premium segment, but a new study finds that they don't garner the highest rates of non-luxury customer conquests. It turns out that a Volvo leads among folks moving up to a premium brand, and it isn't even one that's made anymore, at that.
A recent study by Polk and IHS Automotive looked at what models had the highest rates of buyers upgrading from a non-luxury segment. The information comes from its new vehicle registration data through April 2014. All ten top models boasted conquest rates of over 50 percent, but the Volvo C70 led the field with 68.01 percent of its customers coming from non-premium brands.

Jaguar tests autonomous vehicle technology with 100-car fleet

Jaguar Land Rover is exploring how to take autonomous vehicle technology off the paved path. But the company has plans for technology on tarmac, too. The company announced that the Jaguar division will have a fleet of 100 cars testing autonomous technologies on public roads. The testing process will cover a period of four years and begin with vehicle-to-vehicle and vehicle-to-infrastructure communication systems, along with a stereo camera system and autonomous vehicle software. These systems will work together to provide a variety of features that could make their way into future Jaguars and Land Rovers. The first feature in development is called "Roadwork Assist." The system relies on the stereo camera to create a 3D image the car's software can analyze. The software can identify road cones and other barriers associated with construction sites. The car will then alert the driver about entering the construction zone and provide some steering assistance to keep the car centered in its lane. Tony Harper, Jaguar's head of research, said that this system can reduce stress on the driver, and the technology could eventually be used to allow the car to pilot itself through construction zones. Another of Jaguar's proposed features is "Safe Pullaway," which also relies on cameras and software. The Safe Pullaway feature is designed to prevent close-proximity collisions in traffic jams and even in the garage. To do this, the car watches the area immediately ahead of it for obstacles. If the car detects something nearby while the driver adds throttle or shifts into gear, it will apply the brakes to prevent driving into the object. The final project on Jaguar's plate is its "Over the Horizon Warning" system. This will be one of the first features to rely on Jaguar's vehicle-to-vehicle communication technology. The idea is that connected cars in constant communication will give drivers additional warning of upcoming hazards, such as out-of-sight animals and slowed or stopped cars. In Jaguar's example of a stopped car, the stationary vehicle would send a signal alerting approaching cars of the situation. In turn, the approaching vehicles would trigger audible and visual warnings to drivers about the hidden car. Jaguar says that the system could also be applied to emergency vehicles. Emergency vehicles would broadcast a signal to alert drivers well before the lights and sirens get their attention. This would give emergency vehicles a faster, safer path through traffic.

Jaguar Land Rover partners with Nvidia for vehicle electronics and software

DETROIT — Luxury automaker Jaguar Land Rover and Silicon Valley artificial intelligence company Nvidia said Wednesday they will collaborate to develop the computer brains and nervous systems for Jaguars and Land Rovers launching in 2025 and beyond. The companies did not disclose financial terms of their multiyear agreement. The collaboration is a high-profile win for Nvidia Corp's effort to expand its reach in the auto industry, building on its base in gaming, artificial intelligence and high-powered chips and software used in servers. For Jaguar Land Rover Automotive, the partnership with Nvidia gives it a well-funded ally as it tries to catch up with Tesla and other luxury vehicle rivals in a digital technology arms race. "We can now accelerate our in-vehicle software," Francois Dossa, JLR's executive director for strategy, said during a conference call. Working with Nvidia engineers, Jaguar Land Rover plans to develop vehicles that can drive themselves under certain conditions, park autonomously and provide more information and software-powered features to drivers, the companies said. The new Jaguars will be upgradable — as Tesla vehicles are today. The automaker said it will use Nvidia technology to power simulations used to train autonomous vehicles. Jaguar Land Rover has a previous deal with Alphabet Inc's Waymo unit to deploy autonomous driving technology. Dossa said the Waymo collaboration was limited to the Jaguar I-PACE electric SUV. The Nvidia alliance covers all Jaguar and Land Rover models to be launched from 2025. Nvidia technology will act as the brains and the nervous system of Jaguar Land Rover vehicles starting in 2025, said Nvidia's vice president of automotive, Danny Shapiro. Nvidia last month announced deals with several Chinese electric vehicle brands. The company has said it has $8 billion in automotive business booked over the next six years. Shapiro said the company will update the figure during an investor day scheduled for March 22. Jaguar Land Rover, a subsidiary of India's Tata Motors Ltd has been struggling with rising costs and semiconductor shortages. Jaguar Land Rover reported a narrow pretax profit for the quarter ended Dec. 31, but Tata Motors reported a larger quarterly loss than expected. Related video: This content is hosted by a third party. To view it, please update your privacy preferences. Manage Settings. Jaguar Land Rover Technology Autonomous Vehicles nvidia