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- W2766884976 abstract "We discuss an early version of an open-source autonomous vehicle simulation framework whereby piloting control programs (PCPs) and vehicle response can be evaluated and improved in a safe environment. Through the interaction of hundreds of autonomous and avatar agents in a simulated environment, edge cases for self-driving vehicles can be analyzed thus accelerating research, development and technology deployment. The Connected Autonomous Vehicle Emulator (CAVE) builds upon four foundational components: (i) physics engine and dynamic vehicle support using Chrono and Chrono::Vehicle; (ii) virtual sensors support to provide self-driving algorithms with realistic data; (iii) multi-agent and vehicle-to-vehicle simulated communication support through a fast, low-latency server-client model; and, (iv) virtual environment for both physics and sensing to support edge cases for self-driving vehicles where physical testing is not feasible, including varying environmental conditions such as snow, rain, or fog." @default.
- W2766884976 created "2017-11-10" @default.
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- W2766884976 date "2017-08-06" @default.
- W2766884976 modified "2023-09-25" @default.
- W2766884976 title "An Overview of a Connected Autonomous Vehicle Emulator (CAVE)" @default.
- W2766884976 doi "https://doi.org/10.1115/detc2017-68322" @default.
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