How Autonomous Vehicle developed now?
Best insight from top research papers
Autonomous vehicles have undergone significant development in recent years. They employ various technologies such as computer vision, sensor fusion, localization, path planning, and driving control to support driving automation . Additionally, autonomous vehicles communicate with other vehicles and surroundings to improve efficiency and safety through strategies like V2V, V2I, and vehicle-to-pedestrian interaction . The development of highly powerful and cost-efficient computing hardware, along with AI and Machine Learning algorithms, has accelerated the advancement of autonomous driving technology . Companies like Waymo Google, Tesla, Volvo, Renault, Uber, Toyota, Audi, Mercedes-Benz, Nissan, General Motors, Bosch, and Continental's motors have developed Level-3 autonomous vehicles . The development of autonomous vehicles has also involved the use of cameras to recreate real-time scenarios and riding circumstances . Overall, the development of autonomous vehicles has focused on enhancing driving automation, improving communication strategies, and leveraging advanced computing and AI technologies .
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| Papers (5) | Insight |
|---|---|
01 Sep 2014 4 Citations | The paper does not provide information on the current development of autonomous vehicles. The paper focuses on the preparation of the laboratory for field examinations and provides an overview of a demonstration in the ITS World Congress 2013. |
| The paper does not provide information on how autonomous vehicles are developed currently. The paper specifically focuses on the development of the Autonomous Vehicle #1 (A1) for the 2010 Autonomous Vehicle Competition. | |
17 Aug 2022 2 Citations | The paper discusses the development of Autonomous Vehicles using Artificial Intelligence techniques such as Deep Learning and Q-Learning. It also mentions the use of cameras to recreate real-time scenarios for testing. However, it does not provide specific details on the current state of development. |
| The paper provides information on the development of autonomous vehicles, including the use of various technologies such as computer vision, sensor fusion, localization, path planning, and driving control. It also mentions the introduction of legislation for autonomous vehicle testing and deployment in the United States. However, it does not specifically mention the current state of development. | |
| The paper provides information on the development of autonomous vehicles, including the use of AI and machine learning algorithms to train models for autonomous driving. However, it does not specifically mention how autonomous vehicles are developed now. |
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