A wiring harness design for Hybrid electric vehicles (HEV) or Dual Power vehicles that uses a wiring harness that is operatively coupled to a cloud connected motor controller that detects mode of operation in two-wheelers and continuously transmit telemetry data to a cloud server.

Systems and methods for countering the usage of autonomous or semi-autonomous vehicles for ramming attacks on a roadway are disclosed. Digital representations of physical trajectories (e.g., roadway travel routes) across which vehicles are expected or permitted to travel are generated based at least on travel-related data (e.g., sensor readings) received from the vehicles over wireless networks. The disclosed systems and methods further generate digital representations of physical trajectories across which vehicles are not permitted to travel, such that the impermissible physical trajectories constitute a deviation from a safe travel route. Additional travel-related data is continuously received from the vehicles in real-time, and the additional data may be combined with non-vehicle data (e.g., pedestrian travel data) and compared to the generated digital representations of permissible and impermissible physical trajectories to determine if the vehicles' physical trajectory is indicative of a harmful impermissible physical trajectory, such as a vehicular ramming attack.

Disclosed are a device and method for controlling a traveling characteristic of a vehicle. The device includes: a user terminal configured to configure and display a screen for a setting mode, on which a parameter value that determines drivability and traveling characteristic of the vehicle is displayed and from which a driver performs a change and a setting to the displayed parameter value; a controller configured to be provided in the vehicle, to receive a parameter value that results from the driver performing the change and the setting, from the user terminal, and to apply the received parameter value to control logic for controlling a traveling state of the vehicle; and a communication unit configured to be provided in the vehicle and to make a connection between the user terminal and the control unit in such a manner that transmission and reception of the parameter value are possible.

A controller for a hybrid vehicle performs charging control when a shift range of the hybrid vehicle is a first range, and does not perform the charging control when the shift range of the hybrid vehicle is a second range, the charging control being control of charging a power storage device with electric power generated by a generator driven by an engine. The controller records diagnosis information when an SOC of the power storage device is equal to or lower than a first threshold value and the shift range of the hybrid vehicle is the first range, and does not record the diagnosis information when the SOC of the power storage device is equal to or lower than the first threshold value and the shift range of the hybrid vehicle is the second range.

A control device is provided, which includes: a destination determining unit configured to determine a destination of a hybrid vehicle that includes an engine, a motor and a battery and is able to supply waste heat from the engine to the battery; a arrival judging unit configured to judge whether the hybrid vehicle can arrive at the destination with a remaining capacity of the battery based on the remaining capacity and a temperature of the battery; and a vehicle control unit configured to control the hybrid vehicle to start the engine and supply the waste heat from the engine to the battery when the arrival judging unit judges that the hybrid vehicle cannot arrive at the destination.

The technology relates to actively looking for an assigned passenger prior to a vehicle 100 reaching a pickup location. For instance, information identifying the pickup location and client device information for authenticating the assigned passenger is received. Sensor data is received from a perception system of the vehicle identifying objects in an environment of the vehicle. When the vehicle is within a predetermined distance from the pickup location, authenticating a client device using the client device information is attempted. When the client device has been authenticated, the sensor data is used to determine whether a pedestrian is within a first threshold distance of the vehicle. When a pedestrian is determined to be within the first threshold distance of the vehicle, the vehicle is stopped prior to reaching the pickup location, to wait for the pedestrian within the first threshold distance of the vehicle to enter the vehicle.

Methods for reversing determination for a vehicle asset are provided. The methods include capturing by a telematics device coupled to the vehicle acceleration data from a three-axis accelerometer, determining by a reversing-determination machine learning mode, a machine-learning-determined reversing indication for the vehicle asset. The reversing-determination machine-learning model being trained by a vehicle reversing indication comprising a vehicle speed and a reverse gear indication.

A system for controlling an intelligent network vehicle is provided, and the system comprises a sensor group configured to obtain sensor information; a sensing and positioning module configured to obtain sensing information and positioning information based on the sensor information; a planning and control module configured to determine vehicle planning control information based on the sensing information and the positioning information; a safety control module configured to determine safety control information based on the sensing information and the positioning information; a function assessment module configured to determine a vehicle state assessment result; a risk assessment module configured to determine a risk assessment result; a logical arbitration module configured to determine vehicle execution information by arbitrating the vehicle planning control information and the safety control information; and an execution module configured to control the vehicle driving based on the vehicle execution information.

A method for controlling configuration of a truck includes identifying a current operating situation of the truck, implementing one of a plurality of sets of configuration parameters associated with the current operating situation, wherein each set of configuration parameters comprises at least two different configuration parameters related respectively to a ground-linking system and a powertrain system of the truck, and wherein said plurality of sets of configuration parameters comprises at least a default set of configuration parameters associated with a default driving operating situation and an off-road set of configuration parameters associated with an off-road operating situation.

A computing framework for addressing a variety of vehicle conditions includes receiving, from a first set of sensors by an edge compute node, first transportation network data associated with a transportation network region, receiving, from a second set of sensors by a cloud computing node, second transportation network data associated multiple transportation network regions, providing, by the edge compute node to one or more autonomous vehicles at the transportation network region, real-time transportation network region information based on at least the first transportation network data to facilitate control decisions by the one or more autonomous vehicles, and providing, by the cloud computing node to at least the one or more autonomous vehicles, non-real-time transportation network region information based on at least the second transportation network data to facilitate the control decisions by the at least one or more autonomous vehicles.