摘要:
A system is disclosed for use in inspecting a vehicle's air filter. The system includes a receptacle defining an enclosed interior space that is configured to receive the air filter, and a light source that is positioned within the receptacle. The receptacle includes an upper wall with an aperture that is arranged in generally parallel relation to the air filter, and the light source is configured to support the air filter such that the light source backlights the air filter to facilitate capture of an image of the air filter through the aperture in the upper wall of the receptacle.
摘要:
A system is disclosed for use in inspecting a vehicle's air filter. The system includes a receptacle defining an enclosed interior space that is configured to receive the air filter, and a light source that is positioned within the receptacle. The receptacle includes an upper wall with an aperture that is arranged in generally parallel relation to the air filter, and the light source is configured to support the air filter such that the light source backlights the air filter to facilitate capture of an image of the air filter through the aperture in the upper wall of the receptacle.
摘要:
A method and apparatus may be used in a vehicle to generate a dynamic driver score. The method may include collecting data. The data may be collected at a predetermined interval. The data may include one or more frames. Each frame may correspond to the predetermined interval and may be divided into segments. Each frame may include a first acceleration data and a second acceleration data. The first acceleration data may be associated with an acceleration of a vehicle at a first segment of the frame, and the second acceleration data may be associated with an acceleration of the vehicle at a second segment of the frame. The frames may be grouped using machine learning methods to determine the driver score. The driver score may be used to modify driving behavior.
摘要:
A method and apparatus may be used in a vehicle to generate a dynamic driver score. The method may include collecting data. The data may be collected at a predetermined interval. The data may include one or more frames. Each frame may correspond to the predetermined interval and may be divided into segments. Each frame may include a first acceleration data and a second acceleration data. The first acceleration data may be associated with an acceleration of a vehicle at a first segment of the frame, and the second acceleration data may be associated with an acceleration of the vehicle at a second segment of the frame. The frames may be grouped using machine learning methods to determine the driver score. The driver score may be used to modify driving behavior.
摘要:
A brake pad dimension estimation system includes a detecting device and an electronic controller. The detecting device is configured to obtain dimensional information from an image of a brake pad assembly. The electronic controller is in electronic communication with the detecting device to receive the dimensional information from the image of the brake pad assembly. The electronic controller is programmed to determine a dimension of the brake pad based on the image.
摘要:
Estimating a fuel consumption includes receiving a request for estimating the fuel consumption between a first time and a second time; estimating a first fuel consumption value in a first time interval using fuel-sender resistance data; estimating a second fuel consumption value in a second time interval using fuel-injected mass data, where the first time interval and the second time interval are consecutive, non-overlapping intervals; and combining at least the first fuel consumption value and the second fuel consumption value to obtain a fuel consumption value.
摘要:
A method for determining whether a vehicle was washed at a carwash includes recording navigation data for a vehicle. The method further includes identifying whether the vehicle was located at a carwash based on the recorded navigation data, identifying at least one indication that the vehicle was washed while located at the carwash, and determining that the vehicle was washed at the carwash if the vehicle was located at the carwash and at least one indication is identified that the vehicle was washed while located at the carwash.
摘要:
Methods and apparatus are provided for monitoring a vehicle, and in particular, for monitoring a vehicle to determine a vehicle condition based on operational factors to incentivize or penalize a driver. One method of monitoring a vehicle comprises providing the vehicle to a driver for a term, the vehicle associated with a base vehicle condition, collecting operational data of the vehicle during the term, manipulating the operational data of the vehicle periodically throughout the term to arrive at an updated vehicle condition and providing an incentive or a penalty to the driver based on the updated vehicle condition.
摘要:
Estimating fuel consumptions of a vehicle is disclosed. A first fuel consumption value in a first time interval is estimated using fuel-sender resistance data. A second fuel consumption value in a second time interval is estimated using fuel-injected mass data. At least the first fuel consumption value and the second fuel consumption value are combined to obtain a fuel consumption value. The fuel consumption value is then output.
摘要:
A method and apparatus for traffic signal timing estimation are disclosed. Traffic signal timing estimation may include a vehicle identifying transportation network information representing a vehicle transportation network including an intersection. The transportation network information may include expected traffic control device state information corresponding to the intersection, such as an artificial neural network based machine learning model trained for the intersection. The vehicle may identify a route through the vehicle transportation network that includes the intersection based on the expected traffic control device state information and may control the traversal of the vehicle transportation network by the vehicle based on the expected traffic control device state information to minimize one or more operational cost metrics. Training the model may include identifying training data from input data previously generated and stored by a traffic control device controller of the intersection.