Decision-making technology for autonomous vehicles

  • How do AI cars make decisions?

    AI software in the car is connected to all the sensors and collects input from Google Street View and video cameras inside the car.
    The AI simulates human perceptual and decision-making processes using deep learning and controls actions in driver control systems, such as steering and brakes..

  • How do autonomous vehicles make decisions?

    The three major sensors used by self-driving cars work together as the human eyes and brain.
    These sensors are cameras, radar, and lidar.
    Together, they give the car a clear view of its environment.
    They help the car to identify the location, speed, and .

    1. D shapes of objects that are close to it

  • What technology is used in autonomous vehicles?

    How Do Autonomous Cars Work? Autonomous cars rely on sensors, actuators, complex algorithms, machine learning systems, and powerful processors to execute software.
    Autonomous cars create and maintain a map of their surroundings based on a variety of sensors situated in different parts of the vehicle..

  • How Do Autonomous Cars Work? Autonomous cars rely on sensors, actuators, complex algorithms, machine learning systems, and powerful processors to execute software.
    Autonomous cars create and maintain a map of their surroundings based on a variety of sensors situated in different parts of the vehicle.
  • These algorithms can also be used for long learning, short prediction.
    The type of regression algorithms that can be used for self-driving cars are Bayesian regression, neural network regression and decision forest regression, among others.
End-to-end systems have been designed to achieve decision-making for autonomous vehicles thanks to the advantages of deep learning methods in image processing. Usually, sensors data are chosen as input and low-level control commands are generated through the trained neural networks.
Autonomous vehicle is a comprehensive intelligent system that integrates environmental perception, path planning, decision-making and motion controlling 

Scholarly articles for decision-making technology for autonomous vehicles

scholar.google.com › citationsDecision-making technology for autonomous vehicles: …
LiuCited by 41… and decision-making for autonomous vehicles
SchwartingCited by 859… decision-making system for autonomous vehicles
LiCited by 230
Decision-making system in autonomous vehicles is the transition of environmental perception system and motion. Decision-Making Technology for Autonomous 

Is learning-based decision-making technology important for autonomous vehicles?

This article proposes a brief review on learning-based decision-making technology for autonomous vehicles since it is significant for safer and efficient performance of autonomous vehicles.
Firstly, the basic outline of decision-making technology is provided.

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What is a decision-making method for autonomous vehicles performance based on FSM?

This paper proposes a decision-making method for autonomous vehicles performance based on finite state machines (FSM), which enables intelligent decision-making during driving and allows planning the next behavior to be performed by the vehicle based on real-time traffic dynamics.

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Why is a decision-making system important in automatic driving?

In the actual driving process of automatic vehicles, a decision-making system plays an important role in automatic driving when facing the complex external environment and changing traffic state.

Autonomous mobility on demand (AMoD) is a service consisting of a fleet of autonomous vehicles used for one-way passenger mobility.
An AMoD fleet operates in a specific and limited environment, such as a city or a rural area.

Autonomous things, abbreviated AuT, or the Internet of autonomous things, abbreviated as IoAT, is an emerging term for the technological developments that are expected to bring computers into the physical environment as autonomous entities without human direction, freely moving and interacting with humans and other objects.

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