特斯拉全自动驾驶系统Tesla‘s Full-Self Driving (FSD)

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• 本文原创作者：谷哥的小弟
• 作者博客地址：http://blog.csdn.net/lfdfhl

Overview

Tesla’s FSD is a suite of features that includes Autopilot, Navigate on Autopilot, Auto Lane Change, Autopark, Summon, and Traffic Light and Stop Sign Control. It is designed to enable Tesla vehicles to drive autonomously on highways and city streets.

Technical Foundation

Tesla’s Autopilot and FSD hardware suite includes 8 cameras that provide 360-degree visibility around the car, 12 ultrasonic sensors for detecting nearby objects, and forward-facing radar for through-the-weather sensing capabilities.

Earlier versions of Tesla’s Autopilot used hardware from NVIDIA, but Tesla has since developed its own custom hardware, known as the Full Self-Driving Computer (FSD Computer), which is designed to handle the complex neural network algorithms required for autonomous driving.

Software Development

Tesla uses deep learning and neural networks to process the vast amount of sensory data. These networks are trained on a diverse set of driving scenarios to improve the system’s ability to navigate roads safely.

Tesla collects anonymized driving data from its fleet to continuously improve the FSD system. This data helps Tesla’s engineers to identify areas for improvement and to train the neural networks more effectively.

Safety Features

Tesla publishes regular safety reports detailing the performance of its Autopilot and FSD systems. These reports are part of Tesla’s commitment to transparency and continuous improvement in vehicle safety.

FSD includes features designed to prevent accidents, such as automatic emergency braking and collision avoidance.

Future Outlook

Tesla is likely to continue its incremental approach to rolling out new FSD features, with each update building on the capabilities of the previous one.Tesla aims to make FSD a global feature, but the timeline will depend on regulatory approvals and the specific challenges of different driving environments around the world.