仿真平台-Dreamland
https://azure.apollo.auto/introduction?locale=zh-cn
http://apollo.auto/platform/simulation_cn.html
https://github.com/ApolloAuto/apollo/blob/master/docs/specs/Dreamland_introduction.md
运行方式:
云端运行你的Git Apollo code, 验证代码释放OK, 测试场景, 网页版
场景类型:
-
Worldsim 逻辑创建 : Worldsim is synthetic data created manually with specific and well-defined obstacle behavior and traffic light status. They are simple yet effective for testing the autonomous car in a well-defined environment. They do however lack the complexity found in real-world traffic conditions.
-
Logsim 真实世界的log数据 : Logsim is extracted from real world data using our sensors. They are more realistic but also less deterministic. The obstacles perceived may be fuzzy and the traffic conditions are more complicated.
场景边界权限开通:发邮件给BD
数据采集可视化工具-DreamView
https://github.com/ApolloAuto/apollo/blob/master/docs/specs/dreamview_usage_table.md
https://github.com/ApolloAuto/apollo/blob/master/docs/specs/dreamview_usage_table_cn.md (不全!!!)
运行方式:基于Web
功能:
- 可视化显示当前自动驾驶车辆模块的输出信息,例如规划路径、车辆定位、车架信息等。
- 为使用者提供人机交互接口以监测车辆硬件状态,对模块进行开关操作,启动自动驾驶车辆等。
- 提供调试工具,例如PnC监视器可以高效的跟踪模块输出的问题
可视化图标举例:
Planning决策,决策栅栏区
决策栅栏区显示了Plan

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