News

Tesla's new data pipeline and deep learning patent paves way for quicker autonomous driving improvements

A Tesla Model 3 navigates around heavy traffic. (Credit: Scott Kubo/YouTube)

Published

6 years ago

December 27, 2019

Joey Klender

Tesla’s Neural Net continues to improve and become more advanced on a daily basis, but it appears that the electric car maker is making sure that it will evolve at an even faster rate in the future. A recent patent, for example, would allow Tesla’s autonomous driving systems to work more efficiently, thanks to a new data pipeline focused on optimized image processing.

Tesla’s patent for “Data Pipeline and Deep Learning System for Autonomous Driving” was published on December 26. The idea behind the patent is to revolutionize and improve upon past deep learning systems that have been used for autonomous driving vehicles. In the past, these systems have used “captured sensor data” to retrieve information.

Tesla recognizes the need for new sensors when data becomes more complex. According to the electric car maker’s patent, there is “a need for a customized data pipeline that can maximize the signal information from the captured sensor data and provide a higher level of signal information to the deep learning network for deep learning analysis.”

The system described in this patent would capture an image using any of the sensors or cameras on the vehicle. In this case, this would describe a high dynamic range camera, camera sensor, radar sensor, or ultrasonic sensor. The image would then be broken down through a “high-pass” or ‘lo-pass” filter and a series of processors would then decipher what the image means.

The flowchart below describes what the process of the vehicle learning the information would look like. “Receive Sensor Data” is the first portion of this process. Then, data will be broken down and pre-processed for the system to then begin its “Deep Learning Analysis.” The results will then be passed along to the vehicle’s Artificial Intelligence Processor to be utilized during vehicle control.

In another process, the series of information that is retrieved from these images will be compared to data compiled from other Tesla users on a global scale. This will alleviate concerns that drivers may have that the system could perform the wrong process when driving autonomously. The aim of the patent is to create a safe driving experience and improve upon the already solid performance of Tesla’s autonomous driving software, and do so in a process that is more efficient than before.

By using this process, Tesla is able to maintain as much resolution as possible from the images captured by its vehicles’ cameras and sensors. This then allows the Neural Network to more efficiently learn from the data packets that it is receiving. This allows the Neural Network to work with better images in a more efficient manner as well, which opens the doors to faster autonomous driving improvements. These efficiencies would work very well with the additional horsepower offered by Tesla’s Hardware 3 computer, which is specifically designed for full self-driving with built-in redundancies.

Building upon the foundation that Tesla has already laid down in terms of its Full Self Driving suite, the recent patent suggests that the company is now attempting to narrow down on the finer points of its software’s performance. The addition of this patent will not only create a safer driving experience for owners of Tesla vehicles but will bring the quickly approaching future of fully-autonomous vehicles even closer to completion.

The full text of Tesla’s new data pipeline and deep learning patent could be viewed here.

News

SpaceX calls off Starship 10 flight attempt once again

SpaceX is calling off a potential launch of Starship this evening, marking the second consecutive night the tenth test flight of the massive rocket will be delayed.

Published

2 hours ago

August 25, 2025

Joey Klender

Credit: SpaceX

SpaceX is calling off a potential launch of Starship this evening, marking the second consecutive night the tenth test flight of the massive rocket will be delayed.

Originally planning to launch on Sunday at 6:30 p.m. local time in Starbase, Texas, SpaceX was forced to delay the tenth launch of Starship due to a hardware issue.

“Ground side liquid oxygen leak needs to be fixed. Aiming for another launch attempt tomorrow,” CEO Elon Musk posted on the social media platform X.

Starship Flight 10 rescheduled as SpaceX targets Monday launch

The launch was then pushed to Monday night, and the launch window was set to start at the same time as Sunday. However, SpaceX would push it back to 6:44 p.m. due to some weather issues.

Eventually, Starship seemed like it was trending toward a launch, but weather continued to persist in the area, with thunder, rain, and lightning all threatening in the area.

At around 7:03 p.m., SpaceX decided to stand down once again, confirming weather was the culprit of yet another delay:

Launch called off for tonight due to anvil clouds over launch site (lightning risk)

— Elon Musk (@elonmusk) August 26, 2025

SpaceX will likely try again on Tuesday night, but the company has not yet confirmed if it will open another launch window.

News

WATCH: SpaceX Starship Flight 10 launch

Published

4 hours ago

August 25, 2025

Joey Klender

Credit: SpaceX

SpaceX is set to launch its tenth test flight of the Starship program, with a launch window that will open at 6:44 p.m. local time, or 7:44 p.m. on the East Coast.

Starship’s tenth test flight was originally scheduled for launch yesterday with a one-hour window that opened at 7:30 p.m. ET, but it was called off 17 minutes before that window even had a chance to open.

Starship Flight 10 rescheduled as SpaceX targets Monday launch

SpaceX moved the flight to tonight. It was also originally scheduled to have a launch window at the same time as Sunday, but it was pushed back 14 minutes to around 6:30 p.m. ET. There are storms in the area, as well as clouds over Starbase, so there is the off chance for another launch delay.

There are several big objectives for this launch, including the expansion of the operating envelope for the Super Heavy booster. SpaceX says there are “multiple landing burn tests planned.”

The booster will also be performing a few in-flight experiments to help with data collection. Specifically, real-world performance data on future flight profiles and off-nominal scenarios will be on the list of things SpaceX will be looking for.

Starship itself will have a few in-flight objectives that include the deployment of eight Starlink simulators that are similar in size to the next-gen satellites for the internet service. SpaceX was set to test this with Starship’s seventh test flight, which occurred in January 2025. However, the task was abandoned as the vehicle was destroyed before deployment could occur.

Liftoff conditions are currently looking favorable, and SpaceX will be eager to improve upon its Starship launch program as CEO Elon Musk has big plans for it in the coming years.

You can watch the launch below via SpaceX:

Watch Starship’s tenth flight test → https://t.co/UIwbeGoo2B https://t.co/MQg9ZAjCip

— SpaceX (@SpaceX) August 25, 2025

Elon Musk

Tesla looks to expand Robotaxi geofence once again with testing in new area

It looks as if Tesla is preparing for its next expansion of the geofence, potentially moving toward a much larger service area that could eclipse 150 square miles.

Published

7 hours ago

August 25, 2025

Joey Klender

Credit: Joe Tegtmeyer | X

Tesla looks to be preparing for the potential expansion of the Robotaxi geofence once again, as the company was spotted testing the suite in an area well outside of the Austin service area.

After it first launched the Robotaxi platform on June 22, Tesla has managed to expand its geofence twice, essentially doubling the travel area both times.

The most recent expansion took the size of the geofence from 42 square miles to about 80 square miles, bringing new neighborhoods and regions of the city into the realm of where the driverless vehicles could take passengers.

However, it looks as if Tesla is preparing for its next expansion of the geofence, potentially moving toward a much larger service area that could eclipse 150 square miles.

Over the weekend, one fan noticed a Robotaxi validation vehicle testing in Bee Cave, Texas, which is roughly 25 minutes from the edge of the current geofence:

Tesla spotted doing Robotaxi validation testing in Bee Cave, Texas, about 15 miles west of Austin (20-25 minute drive from current edge of geofence). pic.twitter.com/JCOcoys8SJ

— Sawyer Merritt (@SawyerMerritt) August 23, 2025

Tesla has been testing vehicles in the western suburbs of Austin for some time, and it seems the company is laying some groundwork to push its geofence expansion into Plaid Mode as competition with Waymo continues to be at the forefront of the conversation.

Waymo has been expanding with Tesla for some time, as the pace of expansion for the two companies has been relatively accelerated for the past couple of months.

Tesla’s expansions of the geofence sent a clear message to competitors and doubters, but it is still aiming to keep things safe and not push the envelope too quickly.

The geofence expansion is impressive, but Tesla is also focusing on expanding its vehicle fleet in both Austin and the Bay Area, where it launched a ride-hailing service in July.

Tesla Bay Area autonomous fleet to grow to over 100 units: Elon Musk

Still, safety is the priority at the current time.

“We are being very cautious. We do not want to take any chances, so we are going to go cautiously. But the service areas and the number of vehicles in operation will increase at a hyper-exponential rate,” CEO Elon Musk said during the Q2 Earnings Call.