12/28/2023 0 Comments Tesla fsd![]() There are always a number of tricky situations along the route. In many European countries, the candidate must show ability to drive through rush-hour traffic, on highways, and in city centers. In some parts of the USA, the requirements are not much different. In some third world countries, a driver’s license is granted after showing that you can drive a car for 30 feet in a parking lot - just start, drive, and stop. American drivers are among the worst in the developed world. I think the basic mistake Tesla has made is trying to train the FSD system how to drive great based on examples of how to drive badly. This is clear from the many instances where the FSD system chooses a wrong solution, making driving mistakes that are very common. What is lacking is a clear qualification as to what are good examples and what is garbage. For nearly every conceivable situation, there is enough data to train their AI. Tesla has billions of miles of driving data. The examples the training software gets should be scored according to the rules of the well behaved automation. You cannot train this behavior by mimicking the driving of a million individuals all following their own rules. The FSD system should not try to drive like a human, but like a rule-based automaton. But there are rules for breaking the rules safely. Rules are to be broken, in the view of many drivers. The first attempts to build AI systems were rule-based and repository-based “Knowledge Systems.” And here is the big irony - the best driving instructors train their pupils to behave like rule-based automatons. The current system is a neural net–based artificial intelligence system. It is about methodology, and possibly architectural shortcomings. But the irony of the current local maximum is that it is not about the technology. I have no doubt that that is what Tesla is looking for now. The solution each time was better, newer technology. Elon Musk has described those instances as reaching a “local maximum.” It is a nice way of saying that it is the best that can be done with the technology used. It seems from the outside that progress has stalled as it did a few times before. ![]() With the Full Self Driving system well underway in being built, and Tesla having discovered many of constraints and requirements by trial and error, I can skip to the current state of the system. Based on the data provided by the analyst, the architect can decide on the subsystems and how they interact. ![]() ![]() The system analyst must describe the system and the environment that it is going to build. This article is from a system architect’s and system integrator’s point of view.īefore the system architect can get to work, there is a preliminary step. Those stories have been from the Beta test drivers’ point of view. In recent weeks, there have been a number of articles about the lack of progress in Tesla Full Self-Driving (FSD). ![]()
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