Tesla FSD Beta v12: Autonomous Parking Spot Search

Lilu Anderson
Photo: Finoracle.net

Tesla’s Full Self-Driving (FSD) Beta v12 Software Demonstrates Autonomous Parking Behavior

Tesla’s upcoming Full Self-Driving (FSD) Beta v12 software has showcased an exciting new capability – the ability to autonomously search for a parking spot. With CEO Elon Musk’s promise of “end-to-end neural nets,” this software update marks a significant shift in how Tesla’s vehicles will be controlled.

Initially scheduled for release last year, the v12 update was met with delays. However, Tesla has recently started a limited rollout of the software, granting a select number of customers access to the FSD Beta. While a wide release is yet to occur, this week saw another version of the system being pushed to a few more owners.

During a trial run of the FSD Beta v12, a Tesla vehicle showcased its autonomous parking capabilities. In one particular instance, the vehicle drove to a location in an alley in Sacramento. Instead of stopping at a point where parking was unavailable, the vehicle updated its navigation, opting to drive around the block. On its return to the alley, the vehicle not only stopped earlier than the designated destination but it also smoothly pulled into an available parking spot.

This behavior suggests that the vehicle is now equipped with the ability to make decisions based on parking availability, signifying a significant development in Tesla’s autonomous driving technology. However, it is important to note that this is currently an anecdotal experience, and critics have pointed out Tesla’s lack of disengagement data. Such data would allow for a thorough assessment of the system’s performance over time.

As Tesla moves forward with its FSD Beta v12 software update, the introduction of “end-to-end neural nets” represents a major shift in how the vehicles will operate. While parking capabilities demonstrate promising progress, further testing and analysis will be crucial to ensure the overall safety and reliability of Tesla’s autonomous driving technology.

Analyst comment

Positive news: Tesla’s Full Self-Driving (FSD) Beta v12 software demonstrates autonomous parking capabilities, marking a significant shift in Tesla’s vehicle control. The ability to make decisions based on parking availability indicates promising progress in autonomous driving technology.

As an analyst, I predict that the market will respond positively to this news as it highlights the advancements in Tesla’s autonomous driving technology and showcases their commitment to innovation. However, further testing and analysis will be necessary to ensure the overall safety and reliability of the system.

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Lilu Anderson is a technology writer and analyst with over 12 years of experience in the tech industry. A graduate of Stanford University with a degree in Computer Science, Lilu specializes in emerging technologies, software development, and cybersecurity. Her work has been published in renowned tech publications such as Wired, TechCrunch, and Ars Technica. Lilu’s articles are known for their detailed research, clear articulation, and insightful analysis, making them valuable to readers seeking reliable and up-to-date information on technology trends. She actively stays abreast of the latest advancements and regularly participates in industry conferences and tech meetups. With a strong reputation for expertise, authoritativeness, and trustworthiness, Lilu Anderson continues to deliver high-quality content that helps readers understand and navigate the fast-paced world of technology.