Beschreibung
Studienarbeit aus dem Jahr 2020 im Fachbereich Ingenieurwissenschaften - Fahrzeugtechnik, Sprache: Deutsch, Abstract: The article's goals are thus to carefully investigate the safety risks associated with autonomous technology applied to vehicle applications. In section 2 the levels of automation in cars are discussed, in section 3 the sorts of errors and their probable causes are thoroughly examined, section 4 discussed about the tools used in Avs, Section 5 investigates the present state of on-road testing and accidents, and section 6 discusses the opportunities and difficulties for AV safety research. An autonomous vehicle (AV) or driverless vehicle (DV) is one that can operate and execute required functions without human involvement by sensing its surroundings. In addition, AV employs a completely automated driving system to allow the vehicle to adapt to external conditions that a human driver would handle. The major transportation capabilities of a typical car may be fulfilled by an autonomous vehicle. The key distinction is the Driving Automation System (DAS) developed for self-driving vehicles. DAS adds driving automation to the vehicle platform, allowing for major changes in transportation that minimize collisions, energy consumption, pollution, and congestion costs. The SAE prefers the word automated to autonomous. One reason is because the term autonomy has meanings other than electromechanical. A completely self-driving automobile would be self-aware and capable of making its own decisions. To execute software, autonomous vehicles rely on sensors, actuators, complicated algorithms, machine learning systems, and powerful computers. AV is a life-saving system. Any AV malfunction might result in serious human injury or even death. The goal of safety is to safeguard the system against unintentional breakdowns in order to avoid dangers. Autonomous vehicle safety encompasses mechanical system safety as well as electrical and electronic system safety. In this paper, we have presented a factor that influences the safety measures in autonomous vehicles throughout the early development phases by synchronizing the safety lifecycle, which is based on the SAE J3061, SAE J3016, and ISO 26262 standards.
