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Autojuhtimine, also known as self-driving or autonomous driving, refers to the operation of a vehicle without human intervention. This technology leverages a combination of sensors, cameras, radar, and artificial intelligence to navigate roads, avoid obstacles, and make driving decisions. The primary goal of autojuhtimine is to enhance road safety, reduce traffic congestion, and improve fuel efficiency.

The development of autojuhtimine has seen significant advancements in recent years, driven by improvements in sensor technology, machine learning algorithms, and computational power. Autonomous vehicles can be classified into several levels of autonomy, ranging from Level 0 (no automation) to Level 5 (full automation), as defined by the Society of Automotive Engineers (SAE).

Key components of an autojuhtimine system include:

1. Perception: Sensors and cameras gather data about the vehicle's surroundings.

2. Localization: GPS and other technologies determine the vehicle's position.

3. Planning: Algorithms decide the best route and actions.

4. Control: Actuators execute the planned actions, such as steering and braking.

Autojuhtimine faces several challenges, including regulatory hurdles, public acceptance, and the need for robust safety measures. However, ongoing research and development aim to overcome these obstacles and bring fully autonomous vehicles to the mainstream. The potential benefits of autojuhtimine, such as reduced accidents and improved mobility, make it a promising area of technological innovation.