Abstract: A temperature-controlled irradiation system may include an outer containment and a sealed capsule disposed within the outer containment. The sealed capsule may be configured to contain a testing material within the sealed capsule. The system may further include a temperature sensor disposed within the sealed capsule. The temperature sensor may be configured to measure a temperature of the testing material. A pressure sensor may be disposed within the sealed capsule. The pressure sensor may be configured to measure an internal pressure of the sealed capsule. The system may include a heater disposed within the sealed capsule. The heater may be configured to control the temperature of the testing material. The heater may be immersed within the testing material. A gas gap is provided between the sealed capsule and the outer containment. The gas gap may be configured to control thermal conductivity between the sealed capsule and the outer containment.

Abstract: Disclosed embodiments include a method and apparatus for determining an unmanned vehicle positioning accuracy. In some embodiments, the method comprises: acquiring positioning coordinate information obtained by real-time positioning based on sensing positioning data of the unmanned vehicle; determining real coordinate information of the unmanned vehicle based on GPS (Global Positioning System) data, IMU (Inertia Measurement Unit) data and laser point cloud data of the unmanned vehicle; matching the obtained positioning coordinate information with the determined real coordinate information, and determining the positioning accuracy of the unmanned vehicle based on a matching result. According to technical solutions of some embodiments, the positioning accuracy of the unmanned vehicle can be determined with a higher accuracy, and preparation is made for determining a travel route of the unmanned vehicle based on the positioning result.

Abstract: Disclosed embodiments include a method and apparatus for determining an unmanned vehicle positioning accuracy. In some embodiments, the method comprises: acquiring positioning coordinate information obtained by real-time positioning based on sensing positioning data of the unmanned vehicle; determining real coordinate information of the unmanned vehicle based on GPS data, IMU data and laser point cloud data of the unmanned vehicle; matching the obtained positioning coordinate information with the determined real coordinate information, and determining the positioning accuracy of the unmanned vehicle based on a matching result. According to technical solutions of some embodiments, the positioning accuracy of the unmanned vehicle can be determined with a higher accuracy, and preparation is made for determining a travel route of the unmanned vehicle based on the positioning result.

Abstract: The present application discloses a method and apparatus for constructing a testing scenario for a driverless vehicle. An embodiment of the method includes: acquiring a traffic image including a scenario object, the scenario object comprising a roadway object, a traffic sign object, a vehicle object, or a pedestrian object; acquiring attribute information of the scenario object based on the traffic image; and constructing the testing scenario for the driverless vehicle based on the scenario object and the attribute information. The present application enables constructing the testing scenario for the driverless vehicle with real attributes of a roadway object, a traffic sign object, a vehicle object, or a pedestrian object. Therefore, a real traffic condition is restored and employed as the testing environment for the driverless vehicle, and the accuracy of the driverless vehicle testing is improved.