The present invention makes it possible to provide temperature traceability for a test vehicle. A vehicle control device controls temperature information for a test vehicle and includes a peripheral temperature acquisition unit that acquires a peripheral temperature of a test vehicle from a first temperature sensor that is provided in a soak chamber where the test vehicle is stored or in a test chamber where the test vehicle is tested, a position information acquisition unit that acquires position information for the test vehicle, and a recording unit that associates the peripheral temperature of the test vehicle with the position information for that test vehicle and records the association.

Example implementations described herein facilitate an interactive environment for companies and personals to validate and develop autonomous driving systems. Such implementations apply to, but are not limited to, applications such as sensor data collection for deep learning model training; validation and development of various detection algorithms; sensor fusion (e.g., radar, lidar, camera) algorithm development and validation, trajectory/motion planning algorithm validation; and control algorithm validation.

A system comprises a processor that is programmed to define a plurality of vehicle groups based on vehicle specification data and define a plurality of sub-groups for each of the vehicle groups based on environmental data and sensor data received from each of a plurality of vehicles. The processor is programmed to adjust fuel tank leak detection classifiers for the sub-groups based on ground truth data. The ground truth data include, for each of the plurality of vehicles, a leak detection status and a leak test result.

Methods and systems are provided for diagnosing a vehicle having an air dam for improving vehicle aerodynamics. In one example, during steady-state vehicle cruising, a baseline fuel economy for the vehicle is established with the air dam deployed. Then, the air dam is actively retracted and air dam hardware issues are identified based on a change in fuel economy following the commanded change in air dam position.

Methods and systems are provided for diagnosing a vehicle having an air dam for improving vehicle aerodynamics. In one example, during steady-state vehicle cruising, a baseline fuel economy for the vehicle is established with the air dam deployed. Then, the air dam is actively retracted and air dam hardware issues are identified based on a change in fuel economy following the commanded change in air dam position.

In order to reduce a driver-dependent variation in test result by enhancing the reproducibility of driving indices at the end of a test, a vehicle running test system includes a vehicle speed pattern display apparatus adapted to display a prescribed speed pattern and current vehicle speed on a graph with one axis as vehicle speed and the other axis as time or running distance is adapted to, while a vehicle is being driven, separately from the vehicle speed, display information based on driving indices indicating a driving state of the vehicle, simultaneously with the graph.

In order to reduce a driver-dependent variation in test result by enhancing the reproducibility of driving indices at the end of a test, a vehicle running test system includes a vehicle speed pattern display apparatus adapted to display a prescribed speed pattern and current vehicle speed on a graph with one axis as vehicle speed and the other axis as time or running distance is adapted to, while a vehicle is being driven, separately from the vehicle speed, display information based on driving indices indicating a driving state of the vehicle, simultaneously with the graph.

A monitoring system (5, 205) for an aircraft (10) has sensors (20, 30) that are used to sense the air movement around the aircraft. The monitoring system may use information from the sensors to estimate the effects of the air movement on the aircraft and to determine how to control components of the aircraft, such as flight control surfaces and a propulsion system, to compensate for such effects. The monitoring system may also assess aircraft performance based on the air movement information and provide control inputs for improving such performance. It is also possible for the monitoring system to determine more optimal flight paths for avoiding collision threats based on the air movement information.

Systems and methods for improving fuel economy in vehicles such as Class 8 trucks are provided. In some embodiments, signals indicating states of the powertrain are collected and used to generate fuel rate optimization values. Fuel rate optimization values may indicate a difference between optimum fuel flow rates and actual fuel flow rates during a vehicle drive cycle. Recorded fuel rate optimization values may be used to compare different vehicle configurations during testing, and may also be used to evaluate vehicle performance during real-world operation.

Systems and methods for improving fuel economy in vehicles such as Class 8 trucks are provided. In some embodiments, signals indicating states of the powertrain are collected and used to generate fuel rate optimization values. Fuel rate optimization values may indicate a difference between optimum fuel flow rates and actual fuel flow rates during a vehicle drive cycle. Recorded fuel rate optimization values may be used to compare different vehicle configurations during testing, and may also be used to evaluate vehicle performance during real-world operation.