Google obtains ‘Landing Strip’ patent to help park self-driving cars

By Mike Flacy December 15, 2011

google-self-driving-car — Image used with permission by copyright holder

Earlier this week, Google successfully acquired a patent that enables self-driving automobiles to find an available parking space and automatically park the car after arriving at the destination. Otherwise known as the “landing strip”, the patent diagram shows a sensor embedded in the ground at the parking location as well as a QR code to scan. The self-driving car is able to communicate with the sensor and come to a complete stop in order to park the car. The wording of the patent suggests that the car communicates with the sensor via a RF or cellular connection rather than talking to the sensor via GPS technology. When integrated into a computer system, a sensor could potentially direct a car that enters a parking structure to the nearest open spot.

Google also indicated that the sensor could tell the car to stop for a certain period of time or continue in a specific direction over a preset distance. Google indicated that these types of commands would be helpful on tours and stated “In the example embodiment, the vehicle may have an instruction to drive to the Cloud Gate (Silver Bean) sculpture at Millennium Park. When the vehicle arrives, the autonomous instruction may tell it to wait in the location for a predetermined amount of time, for example 5 minutes. The instruction may then direct the vehicle to drive to the Crown Fountain at Millennium Park and again wait for 5 minutes. Next, the instruction may tell the vehicle to drive to the Ice Rink at Millennium Park and wait for another predetermined amount of time. Finally, the vehicle instruction may tell the vehicle to return to its starting position.”

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Google is still undergoing testing of the self-driving vehicle and is determined to reach 1,000,ooo miles driven without an accident. The current fleet of self-driving vehicles at Google has traveled a collective 200,000 miles at this point in both California and Nevada. However, the self-driving car did get into an accident with a Toyota Prius earlier this year, but that was blamed on human error.

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Cars

Tesla posts exaggerate self-driving capacity, safety regulators say

Beta of Tesla's FSD in a car.

The National Highway Traffic Safety Administration (NHTSA) is concerned that Tesla’s use of social media and its website makes false promises about the automaker’s full-self driving (FSD) software.
The warning dates back from May, but was made public in an email to Tesla released on November 8.
The NHTSA opened an investigation in October into 2.4 million Tesla vehicles equipped with the FSD software, following three reported collisions and a fatal crash. The investigation centers on FSD’s ability to perform in “relatively common” reduced visibility conditions, such as sun glare, fog, and airborne dust.
In these instances, it appears that “the driver may not be aware that he or she is responsible” to make appropriate operational selections, or “fully understand” the nuances of the system, NHTSA said.
Meanwhile, “Tesla’s X (Twitter) account has reposted or endorsed postings that exhibit disengaged driver behavior,” Gregory Magno, the NHTSA’s vehicle defects chief investigator, wrote to Tesla in an email.
The postings, which included reposted YouTube videos, may encourage viewers to see FSD-supervised as a “Robotaxi” instead of a partially automated, driver-assist system that requires “persistent attention and intermittent intervention by the driver,” Magno said.
In one of a number of Tesla posts on X, the social media platform owned by Tesla CEO Elon Musk, a driver was seen using FSD to reach a hospital while undergoing a heart attack. In another post, a driver said he had used FSD for a 50-minute ride home. Meanwhile, third-party comments on the posts promoted the advantages of using FSD while under the influence of alcohol or when tired, NHTSA said.
Tesla’s official website also promotes conflicting messaging on the capabilities of the FSD software, the regulator said.
NHTSA has requested that Tesla revisit its communications to ensure its messaging remains consistent with FSD’s approved instructions, namely that the software provides only a driver assist/support system requiring drivers to remain vigilant and maintain constant readiness to intervene in driving.
Tesla last month unveiled the Cybercab, an autonomous-driving EV with no steering wheel or pedals. The vehicle has been promoted as a robotaxi, a self-driving vehicle operated as part of a ride-paying service, such as the one already offered by Alphabet-owned Waymo.
But Tesla’s self-driving technology has remained under the scrutiny of regulators. FSD relies on multiple onboard cameras to feed machine-learning models that, in turn, help the car make decisions based on what it sees.
Meanwhile, Waymo’s technology relies on premapped roads, sensors, cameras, radar, and lidar (a laser-light radar), which might be very costly, but has met the approval of safety regulators.

Cars

Scout Traveler SUV vs. Rivian R1S: modern electric SUVs compared

Scout Motors Traveler SUV in a forest

Scout Motors has made a big comeback, now under the guidance of Volkswagen Group. Not only is the Scout brand being reinvigorated but it has already announced two new models in the form of the Scout Terra truck and the Scout Traveler SUV. The Scout Traveler SUV in particular is an interesting vehicle, but it has an uphill battle ahead of it thanks to competition from the likes of Rivian.

The Rivian R1S is often considered to be the best electric SUV out there right now, and while it's not cheap, it offers an excellent set of tech features, a long range, and more. So how does the Scout Traveler SUV compare with the R1S? We put the two vehicles head to head to find out.
Design
The exterior designs of the Scout Traveler and the Rivian R1S are similar in many ways, though there are some major differences. Both vehicles offer a relatively blocky shape characteristic of a traditional SUV. The Traveler is a little more traditional than the Rivian in that it has a spare tire on the back, which is both practical and gives it a rugged vibe.

Cars

Waymo, Nexar present AI-based study to protect ‘vulnerable’ road users

waymo data vulnerable road users ml still 1 ea18c3

Robotaxi operator Waymo says its partnership with Nexar, a machine-learning tech firm dedicated to improving road safety, has yielded the largest dataset of its kind in the U.S., which will help inform the driving of its own automated vehicles.

As part of its latest research with Nexar, Waymo has reconstructed hundreds of crashes involving what it calls ‘vulnerable road users’ (VRUs), such as pedestrians walking through crosswalks, biyclists in city streets, or high-speed motorcycle riders on highways.