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.

In one example, a method performed by a processing system including at least one processor includes receiving a plurality of data from an autonomous driving vehicle, presenting the plurality of data in a contextually aware dynamic visual indicator, generating an output that the autonomous driving vehicle is operating improperly based on an analysis of the plurality of data, and transmitting a control signal to the autonomous driving vehicle in response to the output that the autonomous driving vehicle is operating improperly to modify an operation of the autonomous driving vehicle.

A method for controlling the speed of a work vehicle towing an implement that is movable between a working position, in which ground engaging tools of the implement are configured to perform a field operation, and a transport position, in which the ground engaging tools are raised relative to the ground. The method may include monitoring, with a computing device, an implement weight supported by the implement while the implement is in the transport position. The method may further include comparing, with the computing device, the implement weight to a predetermined threshold weight. Additionally, the method may include, when the implement weight differs from the predetermined threshold weight, adjusting, with the computing device, a maximum speed limit for the work vehicle.

A driving assistance apparatus for assisting driving of a vehicle. The driving assistance apparatus includes a teacher data generator that stores a movement route traveled by the vehicle according to the user's driving operation in a teacher traveling mode, and generates teacher data related to a target route generated by inverting the movement route; a position estimator that estimates the vehicle current position based on sensor information from a peripheral sensor monitoring the surrounding environment of the vehicle; and a vehicle controller that feedback controls the vehicle based on the vehicle current position estimated by the position estimator and each of target positions on the target route so that the vehicle travels along the target route when an execution command for an automatic traveling mode is received from the user.

Disclosed in the present disclosure are a method and an apparatus for determining a vehicle speed control model training sample. The method includes: a lane in map data is divided into a first lane area and a second lane area, and to-be-measured vehicle speed control features indicated by the two lane areas are different; the to-be-measured vehicle speed control features are determined as target vehicle speed control feature when a difference between a first empirical highest vehicle speed distribution and a second empirical highest vehicle speed distribution is greater than or equal to a preset difference threshold; and starting coordinates and ending coordinates of each preset lane section in the map data, and the target vehicle speed control features and a vehicle speed control label in the preset lane section are taken as a vehicle speed control model training sample.

A method for the automatic control of the longitudinal dynamics of a vehicle is provided by which vehicles traveling ahead are detected. If an upcoming traffic jam is detected, the vehicle is decelerated until a predefined distance behind the tail end of the traffic jam is reached. When the predefined distance from the traffic jam tail end has been reached, the vehicle automatically controlled in its longitudinal dynamics is able to close the remaining, predefined distance to the traffic jam tail end at a low differential velocity in comparison to the velocity of the traffic jam tail end. Using an additional rear sensor system that senses trailing vehicles, the controlled vehicle is made to close the distance to the traffic jam tail end only if a trailing vehicle was detected.

A host vehicle including a plurality of sensors communicably coupled to the host vehicle. Additionally, the host vehicle includes processing circuitry configured to map-match a location of the host vehicle while the host vehicle is operating on a highway, receive obstruction information from the plurality of sensors, the plurality of sensors having a predetermined field of view corresponding to a host vehicle field of view, estimate a driver field of view based on the host vehicle field of view, determine whether a speed of the host vehicle is safe based on the driver field of view and the obstruction information, and modify driver operation in response to a determination that the speed of the host vehicle is not safe based on the driver field of view.

A smart cruise control (SCC) system based on complex information and a method of controlling the same. The method includes setting an SCC user-setting speed as a vehicle speed when an SCC function is turned on, driving a vehicle at the set vehicle speed, deriving vehicle speed limit information of a road section in which the vehicle is travelling from navigation speed limit information, road sign speed limit information, and surrounding vehicle speed information of the road section, and controlling the vehicle speed on the basis of the derived vehicle speed limit information.

A method for autonomous driving, an electronic device and a storage medium are provided. The method may include: planning a control mode of a target vehicle through an initial planning algorithm, to obtain an initial control mode; determining a first precondition that the target vehicle in an expected traveling state satisfies a preset safety rule, the expected traveling state being an expected state of the target vehicle after the target vehicle is controlled according to the initial control mode; determining whether the first precondition is established; and if yes, controlling the target vehicle according to the initial control mode.

A lane departure prevention device includes a control unit that executes lane keeping control (automatic steering of a steering wheel and/or issuing of a warning) when it is determined that a vehicle may move out of a lane. The control unit withholds execution of the lane keeping control until it is determined that a return-to-control condition is satisfied when it is determined that a driver has gone from showing no intention to move out of the lane to showing an intention to move out of the lane to cross a first lane boundary. The control unit continues, when it is determined that the vehicle is approaching a second white line present in a traveling direction with a speed equal to or faster than a reference value, continues withholding the execution of the lane keeping control even when it is determined that the return-to-control condition is satisfied.