Methods, apparatuses, systems and computer program products for estimating individualized road condition information for a specific vehicle are disclosed. Generic road condition information is received, which is indicative of at least one condition of a road segment. Further, individualization information is received, which is representative of an estimating method to be performed on the generic road condition information to obtain individualized road condition information for the specific vehicle. Individualized road condition information are estimated for the vehicle, wherein the estimating method is applied to the received generic road condition information to obtain individualized road condition information.

To obtain a rider-assistance system capable of providing a rider of a straddle-type vehicle with a sense of comfort and safety during a turn, and a control method for such a rider-assistance system.

The present invention provides the rider-assistance system that assists with driving by the rider of the straddle-type vehicle and includes a controller. The controller includes: an object identification section that identifies an object approaching a side of the straddle-type vehicle on the basis of output of a communication device that wirelessly receives information output from infrastructure equipment or another vehicle; a body position information acquisition section that acquires position information of at least a part of a body of the rider on the turning straddle-type vehicle; a collision possibility determination section that determines a collision possibility of the rider with the object identified by the object identification section on the basis of the position information acquired by the body position information acquisition section; and a safety operation performing section that causes the rider-assistance system to perform safety operation in the case where the collision possibility determination section determines that the collision possibility is high.

A vehicle communication, power, and guidance system for use in guiding and communicating with a land vehicle along a roadway, the system comprising: one or more reference devices positioned along the roadway, each of the reference devices further comprising: a memory device for storing fixed values for one or more vehicle and traffic related parameters; and one or more transmission modules for transmitting said fixed values for one or more vehicle and traffic related parameters; a vehicle mounted device comprising: a receiving module for receiving transmitted signals from the transmission module of said reference devices; and a processing module for processing the received signals and a transmitter module to transmitting signals to the reference device to communicate with one or more controllers of the vehicle to guide and control movement of the vehicle along the roadway.

A software update system according to one embodiment of the present disclosure is configured to update software used in a vehicle based on update data of the software, the update data being transmitted to the vehicle from an external device that is communicably connected to the vehicle. The software update system includes: a software update unit configured to update the software based on the update data; a vehicle data acquisition unit configured to acquire respective pieces of second vehicle data about states of the vehicle before and after the software update by the update unit; and an effect evaluation unit configured to evaluate an effect of the software update based on the respective pieces of second vehicle data before and after the software update.

Provided are systems, methods and computer program code for transmitting vehicle data to remote monitoring systems using a low bandwidth protocol.

The routing apparatus predicts occurrence of remote assistance for each vehicle based on a currently selected route of each vehicle and an operation status of each vehicle and predicts an operating rate of operators as a whole based on a prediction result of the occurrence of remote assistance for each vehicle. When the operating rate is higher than the target range, the routing apparatus changes the combination of routes of all vehicles being remotely monitored to a combination that reduces an assistance cost of the operators as a whole as compared with a currently selected combination. When the operating rate is lower than the target range, the routing apparatus changes the combination of routes of all vehicles being remotely monitored to a combination that reduces a vehicle cost of vehicles as a whole as compared with the currently selected combination.

Aspects of the disclosure relate to determining perceptive range of a vehicle in real time. For instance, a static object defined in pre-stored map information may be identified. Sensor data generated by a sensor of the vehicle may be received. The sensor data may be processed to determine when the static object is first detected in an environment of the vehicle. A distance between the object and a location of the vehicle when the static object was first detected may be determined. This distance may correspond to a perceptive range of the vehicle with respect to the sensor. The vehicle may be controlled in an autonomous driving mode based on the distance.

A device may receive accelerometer data and video data for a vehicle and may identify bounding boxes and object classes for objects near the vehicle. The device may identify tracks for the objects and may filter out tracks that are not associated with vehicles or vulnerable road users to generate one or more tracks or an indication of no tracks. The device may generate a collision cone identifying a drivable area of the vehicle to identify objects more likely to be involved in a collision and may filter out tracks from the one or more tracks, based on the bounding boxes, and to generate a subset of tracks or another indication of no tracks. The device may determine scores for the subset of tracks and may identify a track of the subset of tracks with a highest score. The device may perform actions based on the identified track.

An apparatus includes a processor configured to be disposed with a vehicle and a memory coupled to the processor. The memory stores instructions to cause the processor to receive, at least two of: radar data, camera data, lidar data, or sonar data. The sensor data is associated with a predefined region of a vicinity of the vehicle while the vehicle is traveling during a first time period. At least a portion of the vehicle is positioned within the predefined region during the first time period. The method also includes detecting that no other vehicle is present within the predefined region. An environment of the vehicle during the first time period is classified as one state from a set of states that includes at least one of dry, light rain, heavy rain, light snow, or heavy snow, based on at least two of the sensor data to produce an environment classification. An operational parameter of the vehicle based on the environment classification is modified.

A method and system for driver monitoring by fusing contextual data with event data to determine context as cause of event is provided. The method includes detecting an event from event data received from one or more inertial sensors associated with a vehicle of a driver or with the driver. The method also includes determining a context from an audio or video feed received from one or more devices associated with the vehicle or the driver. Further, the method includes fusing the event with the context to determine the context as a cause of the event. In addition, the method includes assigning a score to a driver performance metric based at least on the context and the event.