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Robocar becomes first autonomous race car to complete Goodwood hill climb

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The 2018 Goodwood Festival of Speed is off with a bang, with high-profile car manufacturers and cutting-edge vehicles gracing the event. As could be seen in a recently uploaded video online, this year’s Festival of Speed also featured Robocar — an all-electric, fully-autonomous, AI-powered vehicle — successfully completing the event’s traditional hill climb course.

Roborace, the company behind the self-driving racecar, uploaded Robocar’s hill climb run on its official YouTube channel. The vehicle’s run was just a test session during the early morning before the festival officially started, but it did prove that the self-driving car was capable of traversing Goodwood’s 1.16-mile hill climb course independently. This was a milestone for Robocar’s development, considering that the Goodwood hill course presented several challenges to the vehicle’s systems.

Robocar is built from the ground up as an autonomous racecar. Thus, when attempting its run up Goodwood’s hill course, the car had to rely exclusively on data gathered by its array of sensors such as its GPS, radar, LiDAR, ultrasonic sensors, and machine vision cameras. Due to the terrain of the hill climb track, however, Robocar’s GPS was compromised, since the course’s narrow roads and trees block the car’s GPS signals, preventing the vehicle to map its position accurately. In order to address this challenge, Roborace developed a specialized code for Robocar just for the event, utilizing the car’s LiDAR sensors for real-time environment perception.

Robocar during its hill climb attempt at the 2018 Goodwood Festival of Speed. [Credit: Roborace/YouTube]

As could be seen in the company’s recently-uploaded video, it appears that the specialized code it developed for the self-driving racecar was enough to navigate the vehicle to the finish line without any problems.

Roborace hopes to eventually start a racing series with Robocar, with teams being issued identical cars and the competition being determined by how each vehicle is coded. Robocar, after all, is not just robust sensor-wise, it also packs some serious power, with the self-driving car being equipped with four 135 kW electric motors that produce 500 hp, as well as a 58 kWh battery. Within the heart of Robocar are NVIDIA Drive PX 2 processors, as well as an AI system provided by Arrival.

Robocar’s appearance at the Goodwood Festival of Speed was supported by the founder of the event himself, Charles Gordon-Lennox, better known as the Duke of Richmond. According to the Duke, he believes that the participation of a self-driving car such as Robocar in this year’s event is a statement for the future of mobility.

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Robocar featured in Roborace’s booth at the 2018 Goodwood Festival of Speed. [Credit: Dean Scott]

“I can’t think of a more exciting way to celebrate our Silver Jubilee than to have Roborace attempt the first autonomous race car run up the hill. Roborace plays an important role in the future of mobility, challenging public perceptions and providing a platform to advance new technologies. This makes them the perfect partner to undertake this significant feat,” he said.

The 2018 Goodwood Festival of Speed starts on July 12 and ends on July 15. Several of the world’s biggest auto manufacturers, including Tesla, are participating in the event. As we noted in a previous report, Tesla’s booth at Goodwood, which features the Model 3 as its centerpiece, is proving to be quite popular with the event’s attendees.

Check out pictures of Tesla’s booth and the Model 3 at the event here.

Watch Robocar’s hill climb run in the video below.

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Simon is an experienced automotive reporter with a passion for electric cars and clean energy. Fascinated by the world envisioned by Elon Musk, he hopes to make it to Mars (at least as a tourist) someday. For stories or tips--or even to just say a simple hello--send a message to his email, simon@teslarati.com or his handle on X, @ResidentSponge.

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Tesla adds new feature that will be great for crowded parking situations

This is the most recent iteration of the app and was priming owners for the slowly-released Holiday Update.

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Credit: Grok

Tesla has added a new feature that will be great for crowded parking lots, congested parking garages, or other confusing times when you cannot seem to pinpoint where your car went.

Tesla has added a new Vehicle Locator feature to the Tesla App with App Update v4.51.5.

This is the most recent iteration of the app and was priming owners for the slowly-released Holiday Update.

While there are several new features, which we will reveal later in this article, perhaps one of the coolest is that of the Vehicle Locator, which will now point you in the direction of your car using a directional arrow on the home screen. This is similar to what Apple uses to find devices:

In real time, the arrow gives an accurate depiction of which direction you should walk in to find your car. This seems extremely helpful in large parking lots or unfamiliar shopping centers.

Getting to your car after a sporting event is an event all in itself; this feature will undoubtedly help with it:

Tesla’s previous app versions revealed the address at which you could locate your car, which was great if you parked on the street in a city setting. It was also possible to use the map within the app to locate your car.

However, this new feature gives a more definitive location for your car and helps with the navigation to it, instead of potentially walking randomly.

It also reveals the distance you are from your car, which is a big plus.

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Along with this new addition, Tesla added Photobooth features, Dog Mode Live Activity, Custom Wraps and Tints for Colorizer, and Dashcam Clip details.

All in all, this App update was pretty robust.

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Tesla CEO Elon Musk shades Waymo: ‘Never really had a chance’

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Credit: Tesla

Tesla CEO Elon Musk shaded Waymo in a post on X on Wednesday, stating the company “never really had a chance” and that it “will be obvious in hindsight.”

Tesla and Waymo are the two primary contributors to the self-driving efforts in the United States, with both operating driverless ride-hailing services in the country. Tesla does have a Safety Monitor present in its vehicles in Austin, Texas, and someone in the driver’s seat in its Bay Area operation.

Musk says the Austin operation will be completely void of any Safety Monitors by the end of the year.

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With the two companies being the main members of the driverless movement in the U.S., there is certainly a rivalry. The two have sparred back and forth with their geofences, or service areas, in both Austin and the Bay Area.

While that is a metric for comparison now, ultimately, it will not matter in the coming years, as the two companies will likely operate in a similar fashion.

Waymo has geared its business toward larger cities, and Tesla has said that its self-driving efforts will expand to every single one of its vehicles in any location globally. This is where the true difference between the two lies, along with the fact that Tesla uses its own vehicles, while Waymo has several models in its lineup from different manufacturers.

The two also have different ideas on how to solve self-driving, as Tesla uses a vision-only approach. Waymo relies on several things, including LiDAR, which Musk once called “a fool’s errand.”

This is where Tesla sets itself apart from the competition, and Musk highlighted the company’s position against Waymo.

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Jeff Dean, the Chief Scientist for Google DeepMind, said on X:

“I don’t think Tesla has anywhere near the volume of rider-only autonomous miles that Waymo has (96M for Waymo, as of today). The safety data is quite compelling for Waymo, as well.”

Musk replied:

“Waymo never really had a chance against Tesla. This will be obvious in hindsight.”

Tesla stands to have a much larger fleet of vehicles in the coming years if it chooses to activate Robotaxi services with all passenger vehicles. A simple Over-the-Air update will activate this capability, while Waymo would likely be confined to the vehicles it commissions as Robotaxis.

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Tesla supplier Samsung preps for AI5 production with latest move

According to a new report from Sedaily, Samsung is accelerating its preparation for U.S. production of the AI5 chips by hiring veteran engineers for its Customer Engineering team.

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Credit: Tesla

Tesla supplier Samsung is preparing to manufacture the AI5 chip, which will launch the company’s self-driving efforts even further, with its latest move.

According to a new report from Sedaily, Samsung is accelerating its preparation for U.S. production of the AI5 chips by hiring veteran engineers for its Customer Engineering team, which will help resolve complex foundry challenges, stabilize production and yields, and ensure manufacturing goes smoothly for the new project.

The hiring push signals that Tesla’s AI5 project is moving forward quickly at Samsung, which was one of two suppliers to win a contract order from the world’s leading EV maker.

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TSMC is the other. TSMC is using its 3nm process, reportedly, while Samsung will do a 2nm as a litmus test for the process.

The different versions are due to the fact that “they translate designs to physical form differently,” CEO Elon Musk said recently. The goal is for the two to operate identically, obviously, which is a challenge.

Some might remember Apple’s A9 “Chipgate” saga, which found that the chips differed in performance because of different manufacturers.

The AI5 chip is Tesla’s next-generation hardware chip for its self-driving program, but it will also contribute to the Optimus program and other AI-driven features in both vehicles and other projects. Currently, Tesla utilizes AI4, formerly known as HW4 or Hardware 4, in its vehicles.

Tesla teases new AI5 chip that will revolutionize self-driving

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AI5 is specialized for use by Tesla as it will work in conjunction with the company’s Neural Networks, focusing on real-time inference to make safe and logical decisions during operation.

Musk said it was an “amazing design” and an “immense jump” from Tesla’s current AI4 chip. It will be roughly 40 times faster, and have 8 times the raw compute, with 9 times the memory capacity. It is also expected to be three times as efficient per watt as AI4.

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AI5 will make its way into “maybe a small number of units” next year, Musk confirmed. However, it will not make its way to high-volume production until 2027. AI5 is not the last step, either, as Musk has already confirmed AI6 would likely enter production in mid-2028.

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