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Mercedes F1 to use Qualcomm 5 GHz WiFi for its tire data

In Formula 1 you need more of everything. More speed, more grip, more hospitality, more money. And you need data, reams and reams of data. The Mercedes-AMG Formula 1 team – the guys with the silver cars driven by 2015 F1 champion Lewis Hamilton and his teammate Nico Rosberg – need so much information that they've teamed with Qualcomm to wirelessly upload thermal imaging data of its tires. During a typical race weekend Mercedes's two racecars will generate approximately half a terabyte of data. Live telemetry has been a feature of Formula 1 for 20 years, though there are more restrictions on it than in the past. (In the days leading up to last weekend's United States Grand Prix in Texas, Formula 1 major domo Bernie Ecclestone said that F1 needs to cease being an engineering war and return more responsibility to the drivers.) Nevertheless, F1 teams gather vast amounts of data during a race weekend, particularly in practice sessions during which restrictions on what they can upload from cars – from engine/power unit parameters to aerodynamic loads – are less prohibitive. For example, during a typical race weekend Mercedes's two racecars will generate approximately half a terabyte of data. Mercedes F1 technical director Paddy Lowe points out that the standard telemetry system simply doesn't have the bandwidth to handle the thermal tire imaging data that the onboard thermal cameras generate. Why do you want a thermal video of the tires? Because it tells the engineers and drivers precisely how much temperature there is across the surface of a tire during a lap, in corners and on the straights. It also indicates how quickly the tires come up to temperature and when they potentially overheat. Understanding the temperature variations allows the team to set the cars up optimally for grip and tire life during a stint. Qualcomm's system works with the race cars like this: Each car has forward- and rear-facing cameras in a winglet mounted on the left side of the engine intake behind the driver's head, which continuously record thermal images of the tires. As a Mercedes enters the pit lane, it passes a Qualcomm 802.11ac WiFi receiver to which it uploads the thermal data. As the car nears the garage, another receiver takes over the upload. Several Qualcomm Snapdragon 805 processors crunch the raw data as it uploads. The data is encrypted – there are always prying eyes in Formula 1.

Race recap: 2016 Monaco Grand Prix gets very wet, a little wild

More than at any other race, the Monaco Grand Prix question is: which combination of demolition derby, Safety Cars, and bad pit strategy will decide the podium? Last year Lewis Hamilton's late, confounding pit stop cost him victory. The year before, Nico Rosberg's qualifying "mistake" put him on pole and Mercedes-AMG Petronas' pit strategy sealed his win – good for Nico, bad for Hamilton and the rest of the field. In 2013 Hamilton dropped from second to fourth when he lollygagged in the pits. In all three years, Rosberg won. The new X factor for 2016: a Red Bull resurgence that helped Daniel Ricciardo clinch his first career pole. Nevertheless, bad pit strategy had its say in the results. Ricciardo built up a 13-second lead by Lap 15 in spite of heavy rains that forced the Safety Car to lead the first eight laps of the race. Ricciardo stopped on Lap 23 to switch to intermediate tires for the drying track, ceding the lead to Hamilton. Hamilton pitted from the lead on Lap 31 for softs, then Red Bull pulled Ricciardo in again on Lap 32 and made a snap decision to put him on ultra softs, but the tires weren't ready when Ricciardo reached his pit box. What should have been a three-second pit stop turned into a 13.6-second pit stop. Ricciardo left the pits as Hamilton came down the straight and the Aussie lost the lead into the first corner. Despite two attempts to pass later in the race, Hamilton finished first, the Aussie second. It's the second race in a row where pit strategy cost Ricciardo a near-certain win. Conversely, Force India nailed both tire strategy and pit timing with Sergio Perez. The Mexican started in eighth but got into third before half the race was done, passing four cars in the pits, and finished on the podium's final step. Otherwise the order barely changed from about half distance, with Ferrari driver Sebatian Vettel in fourth, followed by Fernando Alonso in the McLaren, Nico Hulkenberg in the second Force India, Rosberg in the second Mercedes, Carlos Sainz for Toro Rosso, Jenson Button in the second McLaren, and Felipe Massa taking the final point for tenth for Williams. Storms didn't only hover over the area, though – dark clouds hung around several teams and drivers. Mercedes' reliability is no longer so reliable. The Silver Arrows suffered engine issues on both cars in qualifying, and Hamilton's problem almost kept him from setting a time in Q3.

Poor headlights cause 40 cars to miss IIHS Top Safety Pick rating

Over the past few months, we've noticed a number of cars and SUVs that have come incredibly close to earning one of the IIHS's highest accolades, the Top Safety Pick rating. They have great crash test scores and solid automatic emergency braking and forward collision warning systems. What trips them up is headlights. That got us wondering, how many vehicles are there that are coming up short because they don't have headlights that meet the organization's criteria for an "Acceptable" or "Good" rating. This is a revision made after 2017, a year in which headlights weren't factored in for this specific award. This is also why why some vehicles, such as the Ford F-150, might have had the award last year, but have lost it for this year. We reached out to someone at IIHS to find out. He responded with the following car models. Depending on how you count, a whopping 40 models crash well enough to receive the rating, but don't get it because their headlights are either "Poor" or "Marginal." We say depending on how you count because the IIHS actual counts truck body styles differently, and the Infiniti Q70 is a special case. Apparently the version of the Q70 that has good headlights doesn't have adequate forward collision prevention technology. And the one that has good forward collision tech doesn't have good enough headlights. We've provided the entire list of vehicles below in alphabetical order. Interestingly, it seems the Volkswagen Group is having the most difficulty providing good headlights with its otherwise safe cars. It had the most models on the list at 9 split between Audi and Volkswagen. GM is next in line with 7 models. It is worth noting again that though these vehicles have subpar headlights and don't quite earn Top Safety Pick awards, that doesn't mean they're unsafe. They all score well enough in crash testing and forward collision prevention that they would get the coveted award if the lights were better.