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Autonomous robot driving decision strategy following road signs and traffic rules: Simulation validation

机译:遵循路标和交通规则的自主机器人驾驶决策策略:仿真验证

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Autonomous robot driving decision strategy following road signs and traffic rules is described using simulation with a Turtlebot [1]. A fully autonomous robot driving strategy is presented, which follows human level logic in decision making. A vision-based autonomous vehicles navigation system for road vehicles includes three main parts: 1) road and traffic signs detection; 2) vehicle movement guidance system; and 3) decision making following human level logic. The first two modules have been studied independently for many years and obtained many good results using different solutions, but there is little research in fully integrated system with high level decision making to achieve fully autonomous robot navigation following road signs. It is valuable to study and apply this concept into a real system. A simulation world is built according to real environment scenario proving the concept of study.
机译:使用Turtlebot [1]进行仿真,描述了遵循道路标志和交通规则的自主机器人驾驶决策策略。提出了一种完全自主的机器人驱动策略,该策略遵循决策中的人为逻辑。基于视觉的道路车辆自动驾驶导航系统包括三个主要部分:1)道路和交通标志检测; 2)车辆运动引导系统; 3)按照人的逻辑进行决策。前两个模块已被独立研究多年,并使用不同的解决方案获得了许多良好的结果,但是很少有人研究具有高度决策能力的完全集成系统,以实现遵循路标的完全自主的机器人导航。研究此概念并将其应用到实际系统中非常有价值。根据真实环境场景构建了一个模拟世界,证明了研究的概念。

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