Systems and methods for evaluating vehicle occupant behavior are provided. For example, a method of evaluating vehicle occupant behavior includes analyzing behavior of an occupant of a vehicle associated with a trip in the vehicle. The method also includes determining one or more aspects of the trip in the vehicle. The method also includes determining a score of the behavior of the occupant of the vehicle based on the analysis and the one or more aspects.

A method for safe at least semi-autonomous driving operation of an ego vehicle in case of sun glare is disclosed. The method involves checking, by a computing system, whether one or more vehicle sensors of the ego vehicle are dazzled by sun glare, and if yes, detecting environmental information by a detection system of the ego vehicle. The method further involves subsequently checking, by a computing system, the environmental information for a presence of at least one dynamic object for intercepting the sun glare during driving operation of the ego vehicle, and if yes, checking, by a computing system, whether the ego vehicle can execute a driving manoeuvre in such a way that the at least one dynamic object intercepts the sun glare during driving operation of the ego vehicle. If yes, then the driving manoeuvre is executed.

Methods, apparatuses, systems and computer program products are disclosed to estimate road surface temperature for a geographic location. Reference ambient sensor data indicative of ambient conditions in vicinity to mobile vehicles are retrieved. Reference roadside sensor data indicative of at least road surface temperature in vicinity to distributed roadside sensors are retrieved. A relationship is established between the reference ambient sensor data and road surface temperature, based on the reference ambient sensor data and based on the reference roadside sensor data. A data structure is created, encoding the established relationship. Further, current vehicle ambient sensor data, indicative of current ambient conditions in vicinity to the one or more vehicles, are collected at one or more vehicles. Finally, a road surface temperature estimate is determined for the geographic location, using the data structure and using the collected current vehicle ambient sensor data.

A system and method for power management of hybrid electric vehicles is provided. In some implementations, a plug-in series hybrid electric vehicle may include an engine, a motor/generator (MG), a traction motor, an energy storage device, and a controller. The controller is coupled to the engine and the MG to control operation of the engine and the MG such that a state-of-charge (SOC) of the energy storage device tracks a dynamic reference SOC profile during a trip and an average engine power (AEP) is maintained above a threshold. In some instances, maintaining AEP above a threshold supports emission control of the vehicle.

An object of the present invention is to realize lane deviation warning/control at an intersection, on a multilane road and in an environment where no lane dividing lines are present and GNSS accuracy is low. A driving assistance device includes a recording unit that records a plurality of past traveling positions of a vehicle and position estimation information relating to the past traveling positions, a relative position estimation unit that estimates a relative position of the vehicle from an output of a sensor that detects a surrounding of the vehicle, adds a history of the relative position to the past traveling position, and adds the output of the sensor, which is used to estimate the relative position, to the position estimation information, a position estimation unit that estimates a position of the vehicle with respect to the past traveling positions from the output of the sensor and the position estimation information of the recording unit, and adds a history of the estimated position to the past traveling position, a deviation determination unit that determines deviation from the plurality of past traveling positions by using a distribution of the plurality of past traveling positions, the position of the vehicle with respect to the plurality of past traveling positions, and a predetermined reference value, and a control unit that controls the vehicle to cancel a warning or deviation, when the deviation is determined.

A system comprises an autonomous vehicle (AV) and an operation server operably coupled with the AV. The operation server accesses environmental data associated with a road traveled by the AV. The environmental data is associated with a time window during which the AV is traveling along the road. The operation server compares the environmental data with map data that comprises expected road conditions ahead of the AV. The operation server determines whether the environmental data comprises an unexpected road condition that is not included in the map data. In response to determining that the environmental data comprises the unexpected road condition that is not included in the map data, the operation server determines a location coordinate of the unexpected road condition, and communicates a command to the AV to maneuver to avoid the unexpected road condition.

A weather sensing and reporting system includes a filter module configured to receive weather condition data collected by a plurality of vehicles in a reporting region and filter the weather condition data by selectively removing individual samples from the weather condition data based on meteorological quality control standards. A weather condition calculation module is configured to calculate weather conditions in the reporting region based on the filtered weather condition data and a report generation module is configured to generate and transmit a weather report based on the calculated weather conditions.

A vehicle includes a navigation configured to output navigation information; and a controller configured to receive a requested stopping location of the vehicle for a passenger to get on or off, to determine a stopping location of the vehicle based on the navigation information and information on a designated no-stopping zone, in response to the receiving of the requested stopping location, and to control the vehicle to head to the determined stopping location.

A method of estimating a load on a vehicle (10), the method comprising: obtaining a first load estimate using a first load estimation technique; obtaining a second load estimate using a second load estimation technique; analysing characteristics of the first load estimate and the second load estimate; and, based on the analysis selecting either the first load estimate or the second load estimate as an output load estimate.

A method includes monitoring one or more of an ambient condition or an operational condition of a vehicle system while the vehicle system is stationary and a propulsion system of the vehicle system is operating at an idle speed, determining whether the one or more of the ambient condition or the operational condition satisfy one or more reduced auxiliary or parasitic load criteria, reducing one or more of an auxiliary load or a parasitic load responsive to determining that the one or more ambient condition or the operational condition satisfy the one or more reduced auxiliary or parasitic load criteria, and subsequently reducing the idle speed at which the propulsion system is operating to a slower speed following reducing the one or more of the auxiliary load or the parasitic load.