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Ultimate EV range test declares Tesla Model 3, Ford Mach-E, as endurance kings

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The Norwegian Automotive Federation (NAF) has published the results of its recent round of electric vehicle range tests. This time around, the NAF tested the endurance of 21 new EVs by driving them until their batteries were fully drained. Based on the results, it appears that the Tesla Model 3 is still king, though the Ford Mustang Mach-E is not far behind. 

As noted by the NAF, its test was aimed at measuring the real-world range of electric cars based on how they are used in real-world conditions. Each vehicle started the test with a 100% charge, and every car started cold, with no preheating of either the cabin or batteries. The cars were then driven in eco mode (or equivalent), and regenerative braking was used as necessary. Ordinary drivers also operated the vehicles to simulate everyday use. 

The route of the test took the 21 vehicles through city roads, country roads, and motorways at speeds of 60 km/h and 110 km/h (37 and 68 mph). Vehicles with the longest range were also taken through two mountain passes that involved a climb of up to 1,000 meters. The overall results, needless to say, were quite interesting. 

The NAF used an updated Tesla Model 3 Long Range AWD, which had its WLTP range updated to 614 km (381 miles). The vehicle went the furthest among its peers, driving a full 654.9 km (406 miles) before running out of charge and stopping on the side of the road. The Ford Mustang Mach-E RWD Long Range was not far behind, driving 617.9 km (383 miles) before stopping. That was only 37 km (23 miles) shorter than the Tesla Model 3. 

Inasmuch as this is impressive for the Mach-E Long Range, however, it should be noted that the all-electric crossover had a larger 88 kWh battery pack compared to the Model 3’s 75 kWh battery. The Mach-E also had an RWD configuration, which is generally more efficient than the Model 3’s dual motor setup. If one were to compare the Mustang Mach-E AWD Long Range with the Model 3 Long Range AWD, the gap between the two vehicles increases to well over 100 km (62 miles), with the Ford crossover driving 551.6 km (342 miles) before fully draining its battery. 

Nevertheless, the Ford Mustang Mach-E deserves recognition for going the distance in the NAF’s extensive range test. This is especially notable considering that the vehicle is a crossover, and is thus larger than the Model 3. It does, if any, show that Ford’s first real attempt at a serious electric car has a lot of potential to be a successful vehicle on its own. 

Apart from the Tesla Model 3 Long Range AWD and the Ford Mustang Mach-E RWD Long Range, the NAF’s test also involved the Model 3 Standard Range Plus, the Mach-E Long Range AWD, Volkswagen ID.3 Pro S, BMW iX3, Volkswagen ID.4 1st Plus, Audi e-Tron GT, Skoda Enyaq High + Suite, Hyundai Ioniq 5, Mercedes-Benz EQA, Polestar 2, Volvo XC40 Recharge, Xpeng G3, Volkswagen ID.3 1st Plus, Citroën ë-C4, Opel Mokka-e, Fiat 500, Honda e, Mazda MX-30, and the Hyundai Kona Electric. 

Check out the NAF’s full report on its ultimate EV range test here

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Ultimate EV range test declares Tesla Model 3, Ford Mach-E, as endurance kings

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Source: https://www.teslarati.com/tesla-model-3-vs-ford-mustang-mach-e-range-test-norway-results/

Artificial Intelligence

Scale AI CEO Alex Wang weighs in on software bugs and what will make AV tech good enough

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Scale co-founder and CEO Alex Wang joined us at TechCrunch Sessions: Mobility 2021 this week to discuss his company’s role in the autonomous driving industry and how it’s changed in the five years since its founding. Scale helps large and small AV players establish reliable “ground truth” through data annotation and management, and along the way, the standards for what that means have shifted as the industry matures.

Good data is the “good bones” of autonomous driving systems

Even if two algorithms in autonomous driving might be created more or less equal, their real-world performance could vary dramatically based on what they’re consuming in terms of input data. That’s where Scale’s value prop to the industry starts, and Wang explains why:

If you think about a traditional software system, the thing that will separate a good software system from a bad software system is the code, the quality of the code. For an AI system, which all of these self-driving vehicles or autonomous vehicles are, it’s the data that really separates an amazing algorithm from a bad algorithm. And so one thing we saw was that being one of the stewards and shepherds of high-quality data was going to be incredibly important for the industry, and that’s what’s played out. We work with many of the great companies in the space, from Aurora to Nuro to Toyota to General Motors, and our work with all of them is ensuring that they have really a solid data foundation, so they can build the rest of their stacks on top of it. (Time stamp: 06:24)

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Source: https://techcrunch.com/2021/06/15/scale-ai-ceo-alex-wang-weighs-in-on-software-bugs-and-what-will-make-av-tech-good-enough/

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Artificial Intelligence

Scale AI CEO Alex Wang weighs in on software bugs and what will make AV tech good enough

Published

on

Scale co-founder and CEO Alex Wang joined us at TechCrunch Sessions: Mobility 2021 this week to discuss his company’s role in the autonomous driving industry and how it’s changed in the five years since its founding. Scale helps large and small AV players establish reliable “ground truth” through data annotation and management, and along the way, the standards for what that means have shifted as the industry matures.

Good data is the “good bones” of autonomous driving systems

Even if two algorithms in autonomous driving might be created more or less equal, their real-world performance could vary dramatically based on what they’re consuming in terms of input data. That’s where Scale’s value prop to the industry starts, and Wang explains why:

If you think about a traditional software system, the thing that will separate a good software system from a bad software system is the code, the quality of the code. For an AI system, which all of these self-driving vehicles or autonomous vehicles are, it’s the data that really separates an amazing algorithm from a bad algorithm. And so one thing we saw was that being one of the stewards and shepherds of high-quality data was going to be incredibly important for the industry, and that’s what’s played out. We work with many of the great companies in the space, from Aurora to Nuro to Toyota to General Motors, and our work with all of them is ensuring that they have really a solid data foundation, so they can build the rest of their stacks on top of it. (Time stamp: 06:24)

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Source: https://techcrunch.com/2021/06/15/scale-ai-ceo-alex-wang-weighs-in-on-software-bugs-and-what-will-make-av-tech-good-enough/

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Artificial Intelligence

Scale AI CEO Alex Wang weighs in on software bugs and what will make AV tech good enough

Published

on

Scale co-founder and CEO Alex Wang joined us at TechCrunch Sessions: Mobility 2021 this week to discuss his company’s role in the autonomous driving industry and how it’s changed in the five years since its founding. Scale helps large and small AV players establish reliable “ground truth” through data annotation and management, and along the way, the standards for what that means have shifted as the industry matures.

Good data is the “good bones” of autonomous driving systems

Even if two algorithms in autonomous driving might be created more or less equal, their real-world performance could vary dramatically based on what they’re consuming in terms of input data. That’s where Scale’s value prop to the industry starts, and Wang explains why:

If you think about a traditional software system, the thing that will separate a good software system from a bad software system is the code, the quality of the code. For an AI system, which all of these self-driving vehicles or autonomous vehicles are, it’s the data that really separates an amazing algorithm from a bad algorithm. And so one thing we saw was that being one of the stewards and shepherds of high-quality data was going to be incredibly important for the industry, and that’s what’s played out. We work with many of the great companies in the space, from Aurora to Nuro to Toyota to General Motors, and our work with all of them is ensuring that they have really a solid data foundation, so they can build the rest of their stacks on top of it. (Time stamp: 06:24)

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Source: https://techcrunch.com/2021/06/15/scale-ai-ceo-alex-wang-weighs-in-on-software-bugs-and-what-will-make-av-tech-good-enough/

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Automotive

Chinese startup Pony.ai plans to launch a driverless robotaxi service in California in 2022

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Pony.ai, the robotaxi startup that operates in China and the United States, has started testing driverless vehicles on public roads in California ahead of plans to launch a commercial service there in 2022.

The company said the driverless vehicle testing, which means the autonomous vehicles operate without human safety drivers behind the wheel, is happening daily on public roads in Fremont and Milpitas, California. Pony.ai is also testing its driverless vehicles in Guangzhou, China.

Pony.ai said it also plans to resume a rideshare service to the public in Irvine this summer using AVs with a human safety driver. Its goal is to roll out the fully driverless service to the public in 2022.

“Going completely driverless is key to achieving full autonomy and an indispensable catalyst to realizing our ambitious vision,” said James Peng, CEO and co-founder of Pony.ai.

Pony.ai still has some regulatory hurdles to clear before it can operate commercially. Autonomous vehicle companies that want to charge the public for driverless rides need both the California Department of Motor Vehicles and the California Public Utilities Commission to issue deployment permits. In early June, Cruise became the first company to receive a driverless autonomous service permit from the California PUC that allows it to test transporting passengers. The final step with the DMV, which only Nuro has achieved, is a deployment permit.

Pony’s driverless testing milestone in California comes a month after the state issued the company a permit to test a fleet of six driverless vehicles in a geographic area that spans about 39 square miles. While dozens of companies — 55 in all — have active permits to test autonomous vehicles with a safety driver, it is less common to receive permission for driverless vehicles. Pony was the eighth company to be issued a driverless testing permit in the state, a list that includes Chinese companies AutoX, Baidu and WeRide as well as U.S. businesses Cruise, Nuro, Waymo and Zoox. Only Nuro has been granted a so-called deployment permit, which allows it to operate commercially.

Pony.ai, which was founded in 2016 by former Baidu developers Peng and Lou Tiancheng, has been allowed to test autonomous vehicles with safety drivers since 2017.  The driverless permit issued in May by the California DMV expanded upon Pony’s existing activity in the state.

Pony has tested ridesharing in Fremont and Irvine, California. In 2019, a fleet of electric, autonomous Hyundai Kona crossovers equipped with a self-driving system from Pony.ai and Via’s ride-hailing platform began shuttling customers on public roads. The robotaxi service, called BotRide, wasn’t a driverless service, as there was a human safety driver behind the wheel at all times. The BotRide pilot concluded in January 2020.

The company then started operating a public robotaxi service called PonyPilot in the Irvine area. Pony shifted that robotaxi service from shuttling people to packages due to the COVID-19 pandemic. Pony.ai also partnered with e-commerce platform Yamibuy to provide autonomous last-mile delivery service to customers in Irvine. The delivery service was launched to provide additional capacity to address the surge of online orders triggered by the COVID-19 pandemic, Pony.ai said at the time.

As the pandemic eases and California returns to normal operations, Pony is preparing to launch a commercial robotaxi service. It has already amassed a number of partners and more than $1 billion in funding, including $400 million from Toyota, to help it achieve that goal. Last November, the company said its valuation had reached $5.3 billion following a fresh injection of $267 million in funding. Pony has several partnerships or collaborations with automakers and suppliers, including Bosch, Hyundai and Toyota.

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Source: https://techcrunch.com/2021/06/15/chinese-startup-pony-ai-plans-to-launch-a-driverless-robotaxi-service-in-california-in-2022/

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