A vehicle includes a chassis, a driveline coupled to the chassis, and a control system. The control system is configured to monitor a condition of at least one of the vehicle, an area around the vehicle, or an operator of the vehicle; and control operation of the driveline based on the condition. Controlling the operation of the driveline includes at least one of limiting a speed at which the driveline drives the vehicle or shutting down the driveline and isolating a component of the driveline.

An autonomous vehicle control system is provided. The control system may include a plurality of cameras to acquire a plurality of images of an area in a vicinity of a vehicle; and at least one processing device configured to: recognize a curve to be navigated based on map data and vehicle position information; determine an initial target velocity for the vehicle based on at least one characteristic of the curve as reflected in the map data; adjust a velocity of the vehicle to the initial target velocity; determine, based on the plurality of images, observed characteristics of the curve; determine an updated target velocity based on the observed characteristics of the curve; and adjust the velocity of the vehicle to the updated target velocity.

The invention relates to a device (20) for assisting a driver of a vehicle to perform physical exercises, comprising:—means (21) for acquiring data representative of a driving context,—means (22) for determining a level of risk, from the acquired data,—means (23) for selecting at least one physical exercise compatible with the level of risk,—means (24) for transmitting a signal indicating to the driver the at least one selected exercise; characterised in that it further comprises—means (21′) for acquiring data representative of a history of exercises performed by said driver, said data coming from a remote storage,—and in that the means (23) for selecting at least one physical exercise also use said data representative of a history in order to select said at least one exercise.

Embodiments of this application describe a motor vehicle self-driving method and a terminal device. The method may include obtaining, by a terminal device, vehicle external-environment data of a position of a motor vehicle and initial positioning precision of the motor vehicle. The method may also include determining, by the terminal device, a target driving parameter of the motor vehicle based on the vehicle external-environment data and the initial positioning precision. Furthermore, the method may include controlling, by the terminal device, the motor vehicle to drive based on the target driving parameter. In the embodiments of this application, the terminal device determines the target driving parameter of the motor vehicle based on the vehicle external-environment data and the initial positioning precision. In this way, the target driving parameter varies with the vehicle external-environment data, and further matches an external environment, thereby improving self-driving safety of the motor vehicle.

The present teaching relates to method, system, and medium, for operating a vehicle. The method includes the steps of receiving Real-time data related to the vehicle are received. A current mode of operation of the vehicle is determined. A first risk associated with the current mode of operation of the vehicle is evaluated based on the real-time data in accordance with a risk model. If the first risk satisfies a first criterion, a second risk associated with switching the current mode to a different mode of operation of the vehicle is determined. The vehicle is switched from the current mode to the different mode if the second risk satisfies a second criterion.

A system for navigation and ride hailing that provides options for navigating traffic through express lanes or the like. Information, such as express lane profile information, toll price information for the express lane during a period, and traffic information along one or more paths may be used to determine the fastest options along to a destination at different toll price points.

A communication apparatus is mounted on a first vehicle. The communication apparatus comprises: a communication interface configured to perform wireless communication with a communication apparatus mounted on a vehicle other than the first vehicle; and a controller configured to: determine, when event information is received by the communication interface, the event information indicating occurrence of an event and having been transferred from a communication apparatus mounted on a second vehicle different from the first vehicle, a status of a third vehicle different from the first vehicle and the second vehicle, and decide, based on result of the determination, whether to cause the communication interface to perform transfer of the event information to a communication apparatus mounted on the third vehicle.

A hybrid dump truck for surface mining, comprising a cyber-physical system including a sensing system and a control system, and a driving unit for performing autonomous driving of the dump truck along a travel path using at least the sensory data of the sensing system, wherein the closed cycle path is determined based on topographical data, wherein the control system is configured to control a cyclic energy level of the electric energy storage unit, wherein rates of change of power during autonomous or semi-autonomous driving of the hybrid dump truck from a predetermined reference point of the closed cycle path along said closed cycle path are controlled based on a desired velocity such as to reduce a difference in energy levels of the electric energy storage unit at the reference point of the closed cycle path.

The present invention relates to a position recognition method comprising the steps of: measuring a space in a first direction by means of at least one measurement device provided in a vehicle; recognizing a first marker by means of the measurement means; computing first positional information of the vehicle; acquiring map information; and specifying comprehensive positional information of the vehicle, wherein the first marker includes a coordinate value of the first marker, the first positional information is a coordinate value of the vehicle computed through recognition of the first marker, and the step of specifying the comprehensive positional information combines the first positional information of the vehicle with the map information.

Systems and methods are provided for vehicle navigation. In one implementation, a system for a host vehicle includes at least one processor programmed to determine, based on an output of at least one sensor of the host vehicle, one or more target dynamics of a target vehicle; determine, based on one or more host dynamics of the host vehicle and the target dynamics, a time to collision; determine, based on the time to collision and the host dynamics, a host deceleration for the host vehicle to avoid the collision; determine, based on the time to collision and the target dynamics, a target deceleration for the target vehicle to avoid the collision; determine, based on the host deceleration and the target deceleration, a host deceleration threshold; and determine, based on a speed of the host vehicle and the host deceleration threshold, to brake the host vehicle.