Why Did Google's Self-Driving Car Crash?

As Google develops self-driving technology, the crash of one of its autonomous vehicles has raised questions about when these cars will be safe and why another incident has occurred. The recent incident involved a self-driving Google car that was in testing phases and had a serious accident in Arizona. However, Waymo, the company developing the vehicle, claims that the car was not at fault. The police stated that the Waymo self-driving car was in the wrong place at the wrong time, but it did not violate any laws. In this incident, a Honda vehicle swerved to avoid another car and collided with the Google self-driving car. Some experts suggest that if the Google car had been human-driven, it might have reacted better, but the artificial intelligence failed to analyze and respond to the situation correctly. According to Bloomberg's report, the police mentioned that the Waymo self-driving car had a passenger at the time of the crash, and the Google control operator in the vehicle was injured. The Google self-driving car is one of several semi-electric Pacifica minivans undergoing testing in Arizona, California, and Michigan. The Pacifica is manufactured in Windsor, Canada, just across the border from Detroit, the automotive capital of the U.S. Subsequently, Waymo's software and hardware, such as receivers and cameras, are added to the vehicle at a technical center in the U.S. Following the crash, Waymo's operations have come under scrutiny. This is one of several consecutive accidents involving self-driving cars in recent months. In April, a similar incident occurred with an Uber self-driving car, which resulted in the death of a 49-year-old woman in the U.S. Following this, Uber announced it would suspend the testing of all its self-driving cars in the U.S. and Canada. At the time of the crash, one of Uber's engineers was behind the wheel of the self-driving vehicle, but reports indicate the car was in self-driving mode. Several technologies are necessary for the development of self-driving cars, including 5G networks, very fast processors, and artificial intelligence; areas that still have a long way to go before full development. Self-driving cars need to develop artificial intelligence alongside very fast processors to make the quickest and best decisions in tough conditions. In this regard, Volkswagen and Google are collaborating to develop quantum processors to provide the necessary infrastructure for the development of artificial intelligence in vehicles and the use of self-driving cars. The quantum computers that Google and Volkswagen aim to develop can simulate and solve traffic algorithms. Numerous components are involved in the traffic of an area, and quantum computers will be able to instantly analyze traffic patterns to minimize travel time and traffic phenomena by providing ideal solutions. This system will also be capable of finding vacant parking spaces or fueling and charging stations for vehicles. With the use of powerful computers, artificial intelligence can grow appropriately, and with the development of machine learning algorithms, self-driving cars will have smarter performance. Instead of being programmed for defined performance in specific conditions, a smart and quantum self-driving car can understand its surroundings and immediately make the best decision. Perhaps if Google's current vehicle had such high decision-making power, it would not have crashed and could have made a better decision in the difficult and dangerous conditions.