Patent classifications
B60W2720/106
VEHICLE CONTROL SYSTEM
A vehicle control system includes a detector and a processor. The detector is configured to detect a first stop line on the basis of map data stored in a road map database, and detect a second stop line on the basis of traveling environment data acquired by a camera unit. In a case where the detector detects the first stop line, the processor is configured to control a vehicle to decelerate at a first deceleration rate calculated on the basis of a distance from the vehicle to the first stop line. In a case where the detector detects the second stop line after detecting the first stop line, the processor is configured to control the vehicle to decelerate at a second deceleration rate calculated on the basis of a distance from the vehicle to the second stop line and stop at the second stop line.
APPARATUS AND METHOD FOR CONTROLLING DISTANCE FROM A FRONT VEHICLE
An apparatus for controlling a distance from a front vehicle includes a receiver to receive information on a host vehicle and information on the front vehicle, an acceleration generator to generate one of first acceleration for the host vehicle or second acceleration for the host vehicle, based on the received information on the host vehicle and the received information on the front vehicle and an output device to output the generated first acceleration or the generated second acceleration.
Road friction and wheel slippage assessment for autonomous vehicles
The disclosure relates to assessing and responding to wheel slippage and estimating road friction for a road surface. For instance, a vehicle may be controlled in an autonomous driving mode in order to follow a trajectory. A wheel of the vehicle may be determined to be slipping such that the vehicle has limited steering control. In response to determining that the wheel is slipping, steering of one or more wheels may be controlled in order to orient the one or more wheels towards the trajectory in order to allow the vehicle to proceed towards the trajectory when the wheel is no longer slipping. In addition, the road friction may be estimated based on the determination that the wheel is slipping. The vehicle may be controlled in the autonomous driving mode based on the estimated road friction.
VEHICLE, IN PARTICULAR A MOTOR VEHICLE, AND METHODS FOR CONTROLLING A VEHICLE
A vehicle may have actuators, including a drive device with a drive motor that can act on a drive wheel, a brake device with a brake that can act on a drive wheel, and/or a steering device with a steering sensor by way of which the steering angle of a wheel is adjustable, a vehicle movement controller, and a setpoint value input means, a setpoint value processing means for detecting setpoint value settings of the setpoint value input means, to calculate a yaw acceleration setpoint value and translational acceleration setpoint values from the setpoint value settings. The setpoint value processing means may be configured to transfer the calculated yaw acceleration setpoint value and translational acceleration setpoint values to the vehicle movement controller, which is configured to actuate one or more of the actuators such that the yaw acceleration setpoint value and the translational acceleration setpoint values are reached.
Vehicle slip regulation method and apparatus, electronic device and medium
The present invention relates to the field of vehicles, in particular to a vehicle slip regulation method and apparatus, an electronic device and a medium. The vehicle slip regulation method comprises the following steps: determining a pavement type of a vehicle driving pavement in response to a vehicle acceleration slip regulation event; determining an overall target acceleration of a vehicle according to the determined pavement type, the speed of a non-driving wheel and the slip time of a driving wheel; and performing vehicle slip regulation according to the overall target acceleration. The method does not need to determine wheel adhesion coefficient of a vehicle according to coefficients such as vehicle weight and road slope, can perform slip regulation by calculating overall target accelerations under different pavements, and has strong practicability and robustness and good acceleration slip regulation effect.
Method and system for propelling a vehicle
The invention relates to a method for propelling a vehicle comprising a first power source being an internal combustion engine and a second power source comprising at least one electrical machine. The vehicle is configured to be selectively driven according to a first mode and a second mode, wherein said second mode is prioritized more in relation to fuel efficiency of said vehicle than said first mode. When a maximum power for propelling said vehicle is requested, power delivered by said first power source and said second power source is controlled such that the total power delivered by said first and said second power source exceeds the maximum deliverable power of said first power source. The total power delivered by said first and said second power source is allowed to exceed the maximum deliverable power of said first power source when said vehicle is driven according to said second mode.
Yield behavior modeling and prediction
Techniques for determining a vehicle action and controlling a vehicle to perform the vehicle action for navigating the vehicle in an environment can include determining a vehicle action, such as a lane change action, for a vehicle to perform in an environment. The vehicle can detect, based at least in part on sensor data, an object associated with a target lane associated with the lane change action sensor data. In some instances, the vehicle may determine attribute data associated with the object and input the attribute data to a machine-learned model that can output a yield score. Based on such a yield score, the vehicle may determine whether it is safe to perform the lane change action.
Control of autonomous vehicles adaptive to user driving preferences
A system for controlling an autonomous vehicle includes a memory configured to store parameters of a g-g plot defining admissible space of values of longitudinal and lateral accelerations. The g-g plot parameters define a mapping between user driving preferences and constrained control of the autonomous vehicle. The g-g plot parameters include a maximum forward acceleration, a maximum backward acceleration, a maximum lateral acceleration and a shape parameter defining profile of curves connecting maximum values of forward, backward, and lateral accelerations. The system accepts a comfort level as a feedback from a passenger of the vehicle, determines a dominant parameter corresponding to the feedback, updates the dominant parameter of the g-g plot based on the comfort level indicated in the feedback, and controls the vehicle to maintain dynamics of the vehicle within the admissible space defined by the parameters of the updated g-g plot.
Vehicle traveling control apparatus
A vehicle traveling control apparatus includes a detector that detects an accelerator operation amount by a driver, a determiner that determines, based on a driving condition, whether a driving mode is currently a first mode in which a vehicle is caused to travel autonomously along a target travel path or a second mode in which the driver performs driving operation, a calculator that calculates a continuation time of the first mode when the driving mode is the first mode, a first setting unit that variably sets a characteristic of a target acceleration for the detected accelerator operation amount based on the calculated continuation time, and a second setting unit that, when the driving mode has transitioned from the first mode to the second mode, sets the target acceleration for the detected accelerator operation amount by referring to the set characteristic of the target acceleration for the accelerator operation amount.
Vehicle control system
A vehicle travel control device executes vehicle travel control such that a vehicle follows a target trajectory. An automated driving control device generates a first target trajectory that is the target trajectory for automated driving of the vehicle. The vehicle travel control device further determines whether or not an activation condition of travel assist control is satisfied. When the activation condition is satisfied, the vehicle travel control device generates a second target trajectory that is the target trajectory for the travel assist control. When the second target trajectory is generated during the automated driving, the vehicle travel control device determines whether or not a cancellation condition is satisfied. When the cancellation condition is satisfied, the vehicle travel control device cancels both the first target trajectory and the second target trajectory, and decelerates the vehicle.