Systems and methods for detecting electromagnetic emissions to monitor and manage road traffic. In one implementation, a system is provided for determining at least one of location, speed, and direction of vehicles on a roadway. The system comprising at least one receiver configured for placement at one or more fixed locations along the roadway to detect a plurality of non-reflected electromagnetic emissions originating from a plurality of vehicles. The system further comprise at least one processor configured to receive signal information from the at least one receiver and to identify in the plurality of non-reflected electromagnetic emissions an electromagnetic waveform of a vehicle. The at least one processor may calculate at least one of a Doppler effect, a phase difference, or a time difference of non-reflected electromagnetic emissions associated with the identified electromagnetic waveform, and determine at least one of a location, speed, and direction of the vehicle.

The disclosure includes embodiments for automatically generating a virtual pedestrian for inclusion in a digital simulation. Some embodiments of a method may include automatically generating a virtual pedestrian based on a path specification and a behavior specification. The method may include executing a digital simulation that includes the virtual pedestrian crossing an intersection and a virtual vehicle responding to the virtual pedestrian crossing the intersection, wherein the digital simulation is operable to measure a performance of a virtual Advanced Driver Assistance System (virtualized “ADAS system”) included in the virtual vehicle to protect the virtual pedestrian when responding to the virtual pedestrian crossing the intersection. The method may include displaying a set of visualizations on a display, wherein the set of visualizations on the display visually describe the performance of the virtual ADAS system to protect the virtual pedestrian when responding to the virtual pedestrian crossing the intersection.

The disclosure includes embodiments for automatically generating a virtual pedestrian for inclusion in a digital simulation. Some embodiments of a method may include automatically generating a virtual pedestrian based on a path specification and a behavior specification. The method may include executing a digital simulation that includes the virtual pedestrian crossing an intersection and a virtual vehicle responding to the virtual pedestrian crossing the intersection, wherein the digital simulation is operable to measure a performance of a virtual Advanced Driver Assistance System (virtualized “ADAS system”) included in the virtual vehicle to protect the virtual pedestrian when responding to the virtual pedestrian crossing the intersection. The method may include displaying a set of visualizations on a display, wherein the set of visualizations on the display visually describe the performance of the virtual ADAS system to protect the virtual pedestrian when responding to the virtual pedestrian crossing the intersection.

A travel amount estimation apparatus includes a vehicle travel amount calculation unit, a sensor travel amount calculation unit, an error cause determination unit, and a vehicle travel amount correction unit. The vehicle travel amount calculation unit acquires vehicle information and calculates a vehicle travel amount based on the vehicle information. The sensor travel amount calculation unit acquires sensor information from an external sensor and calculates a sensor travel amount based on the sensor information. The error cause determination unit determines an error cause of the vehicle travel amount. The vehicle travel amount correction unit corrects the vehicle travel amount by using the sensor travel amount in accordance with the error cause and estimates a travel amount of the vehicle on which it is mounted.

A data processing system including a data processing apparatus that can generate an accurate road surface displacement correlating value that is used for a preview damping control is provided. The system includes a cloud having a data processing section and a processing-data-base-section for temporally storing data. The data processing apparatus stores sensing data in the processing-data-base-section, wherein the sensing data is a chunk of sensor values from which a road surface displacement correlating value correlating with a vertical displacement of a road surface on which said vehicle is traveling can be calculated. The sensor values are sequentially and successively detected/obtained by various sensors of the vehicle. The data processing section performs specific offline data processing for a chunk of the sensing data stored in the processing-data-base-section so as to generate data of the road surface displacement correlating value from the sensing data.

An information processing apparatus includes a parameter calculation unit that calculates, on the basis of a driving force characteristic in a predetermined reference gear stage of a simulation target vehicle to be simulated using an internal combustion engine as a power source, a first parameter related to the internal combustion engine in a simulated gear stage that is a simulative gear stage in a control target vehicle to be controlled using a non-internal combustion engine as a power source; a parameter setting unit that sets a second parameter related to the non-internal combustion engine on the basis of the first parameter; and a drive control unit that controls the non-internal combustion engine on the basis of the second parameter. The present technology can be applied to, for example, a system for controlling an electric vehicle.

A method for estimating a grip of a tire supporting a vehicle includes generating a first set of data from a tire-mounted sensor unit, generating a second set of data from the tire-mounted sensor unit and from data obtained from the vehicle, and generating a third set of data from data obtained from the vehicle and from the Internet. A grip estimation module is provided. The first, second and third sets of data are received in the grip estimation module. A friction probability distribution is calculated with the grip estimation module using the first, second and third sets of data, and the friction probability distribution is input into at least one vehicle system.

A method for estimating a grip of a tire supporting a vehicle includes generating a first set of data from a tire-mounted sensor unit, generating a second set of data from the tire-mounted sensor unit and from data obtained from the vehicle, and generating a third set of data from data obtained from the vehicle and from the Internet. A grip estimation module is provided. The first, second and third sets of data are received in the grip estimation module. A friction probability distribution is calculated with the grip estimation module using the first, second and third sets of data, and the friction probability distribution is input into at least one vehicle system.

A system includes at least one sensor coupled to an aftertreatment system and a controller having at least one processor coupled to at least one memory device storing instructions that, when executed by the at least one processor, cause the controller to perform operations. The operations include: adjusting an operating point of an engine in response to emissions information from the at least one sensor and based on a fault indicator regarding a component of the system; and, controlling an electric motor in response to the adjustment of the operating point of the engine based on a change in power output from the engine to assist in a desired emissions characteristic.

The disclosed technology provides solutions for facilitating the selection of a parking space by a user of a parking application. A process of the disclosed technology can include steps for monitoring sensor data and location data associated with a user device, retrieving, based on the location data associated with a user device, listing data associated with one or more parking spaces in a vicinity of the user device, and capturing image data that includes at least a portion of the one or more parking spaces. In some aspects, the process may further include steps for overlaying one or more graphical objects onto the image data, wherein the one or more graphical objects are based on the listing data associated with the one or more parking spaces. Systems and machine-readable media are also provided.