Decision-making is expressed to generate human-level safe and reasonable driving behaviors considering surrounding environmental information, motion of other traffic participants and state estimation of ego vehicles; then the generated driving behaviors are taken into account by the motion control system to achieve ...
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Dec 28, 2022 · This paper provides an analysis of decision-making solutions approaches for autonomous driving. Various categories of approaches are analyzed.
Decision making for autonomous driving considering interaction and ...
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Autonomous driving requires decision making in dynamic and uncertain environments. The uncertainty from the prediction originates from the noisy sensor data ...
In this review we have surveyed the literature on the autonomous vehicle focusing on the decision-making architecture. The main contribution of this paper ...
Dec 1, 2023 · Abstract: The imminent deployment of autonomous vehicles requires algorithms capable of making moral decisions in relevant traffic situations.
In this review, we provide an overview of emerging trends and challenges in the field of intelligent and autonomous, or self-driving, vehicles.
The decision-making methods used in autonomous driving include rule-, optimization-, utility-function-, and AI-based methods. Rule-based methods are simple, ...
Jan 4, 2024 · Autonomous vehicles digest tons of sensor data simultaneously to make informed driving decisions. The actual decision-making process has 3 key stages.
By adjusting the objective function and constraints, the decisions of an autonomous vehicle can be optimized according to different objectives and preferences, ...
Applying AI algorithms will make decision making possible. This is an important point, as it could swiftly accelerate the development of a safe autonomous car.