Patent classifications
B60W2050/009
Control device
A control device for controlling a brake of a vehicle includes an arbitrating unit configured to receive motion requests for a plurality of actuators, which are used for controlling a motion of the vehicle, from a plurality of application requesting units related to driving support functions and to arbitrate the received motion requests, a command distributing unit configured to distribute commands to controllers for controlling the actuators based on an arbitration result obtained by the arbitrating unit, and a feedback controller configured to feed back a control record value indicating the motion of the vehicle, which is measured by using sensor units, to the application requesting units and to realize the motion of the vehicle requested by the application requesting units.
Method and device for emergency assistance
A method and a device for transitioning a vehicle traveling with transverse guidance assistance into a driving state with a reduced collision risk in the event of a driver emergency, wherein the speed of the vehicle is greater than a predetermined threshold speed. The method includes detecting a hands-off situation of the driver in a hands-off phase, outputting a hands-off warning, performing a warning escalation in an escalation phase if there is no response to the hands-off warning, and reducing the vehicle speed in an intervention phase to a speed which is less than or equal to a threshold speed, the vehicle being kept in the current travel lane if there is no response to the warning escalation.
SYSTEM AND METHOD FOR GENERATING, MONITORING, AND CORRECTING AN ALERT FOR AN OCCUPANT OF A VEHICLE
A vehicle includes a system for generating, monitoring, and correcting an alert for an occupant of the vehicle. The system further includes multiple on-board input devices for generating a visual alert signal, an audio alert signal, and a haptic alert signal for an associated one of the visual notification, the audio notification, and the haptic notification received from notification devices. The system further includes a computer having one or more processors and a non-transitory computer readable storage medium (CRM) storing instructions. The processor is programmed to determine a priority level of the alert, compare the priority level to a predetermined priority level threshold, and generate a reporting activation signal in response to the processor determining that the priority level is below the predetermined priority level threshold. The notification devices generates in real-time an error notification to indicate to the occupant that the notification characteristic is below the predetermined quality threshold.
Method and device for operating a vehicle
A method for operating a vehicle, including the following: detection of a vehicle environment; detection of a steering angle for a vehicle wheel that is defined by a steering device; ascertainment of a collision probability for the vehicle based on the detected vehicle environment and the detected steering angle in the case of an unchanged steering angle; correction of the steering angle if the ascertained collision probability is greater than or equal to a predetermined collision probability threshold in order to prevent a collision. Also described is a device for operating a vehicle and a computer program.
CONTROL METHOD AND SYSTEM FOR VEHICLE
A control method for a vehicle is disclosed. The vehicle includes an in-vehicle controller, the in-vehicle controller pre-stores an instruction relationship, and the instruction relationship is used to represent an execution selection that is made by the in-vehicle controller from contrary instructions of at least two controllers. The method includes: receiving, by the in-vehicle controller, a first instruction and a second instruction (S410); and determining, by the in-vehicle controller, a vehicle control instruction according to the instruction relationship, the first instruction, and the second instruction (S420).
CONTROL DEVICE
A control device for controlling a brake of a vehicle includes an arbitrating unit configured to receive motion requests for a plurality of actuators, which are used for controlling a motion of the vehicle, from a plurality of application requesting units related to driving support functions and to arbitrate the received motion requests, a command distributing unit configured to distribute commands to controllers for controlling the actuators based on an arbitration result obtained by the arbitrating unit, and a feedback controller configured to feed back a control record value indicating the motion of the vehicle, which is measured by using sensor units, to the application requesting units and to realize the motion of the vehicle requested by the application requesting units.
AUTONOMOUS VEHICLE DRIVING SYSTEMS AND METHODS FOR CRITICAL CONDITIONS
A method is provided for autonomously operating a vehicle. The method includes receiving, at a processor, at least vehicle state data and vehicle object environment data; generating, with the processor, an optimal path for the vehicle with a cost function based on the vehicle state data and the vehicle object environment data; identifying, with the processor, at least one critical condition constraint based on at least one of the vehicle or vehicle environment; modifying, with the processor, at least a first portion of the optimal path based on the at least one critical condition constraint to result in a short-range trajectory portion; generating a resulting trajectory with the short-range trajectory portion; and implementing the resulting trajectory on the vehicle.
VEHICLE DRIVE ASSISTANCE SYSTEM
A vehicle drive assistance system is provided, which includes a general driver model learning engine configured to build a general driver model to be applied for a plurality of vehicle drivers based on driving data of the plurality of drivers, and an individual driver model learning engine configured to build an individual driver model particular to a specific vehicle driver based on the driving data of the specific driver received from a specific vehicle of the specific driver. The individual driver model learning engine includes a first synchronization engine configured to provide, to the general driver model learning engine, the driving data obtained by executing a first data conversion processing on the driving data of the specific driver.
Control device for hybrid vehicle
A control device for a hybrid vehicle including an internal combustion engine includes: a limiting unit configured to limit an output of the internal combustion engine when temperature of cooling water for cooling the internal combustion engine is equal to or higher than a predetermined temperature; a discharging unit configured to discharge, when internal pressure of a fuel tank is equal to or higher than predetermined pressure, fuel evaporative gas in the fuel tank into an intake passage of the internal combustion engine while the internal combustion engine is being driven; and a prioritizing unit configured to prioritize the limiting of the output of the internal combustion engine by the limiting unit over the discharging of the fuel evaporative gas by the discharging unit, when the discharging unit is to discharge the fuel evaporative gas and the limiting unit is to limit the output of the internal combustion engine.
System and method of managing a driver take-over from an autonomous vehicle based on monitored driver behavior
A method of managing operator take-over of autonomous vehicle. The method includes gathering information on an external surrounding of the autonomous vehicle; analyzing the gathered information on the external surrounding of the autonomous vehicle to determine an upcoming traffic pattern; gathering information on an operator of the autonomous vehicle; analyzing the gathered information on the operator of the autonomous vehicle to determine an operator behavior; predicting an operator action based on the determined upcoming traffic pattern and the determined operator behavior; and initiating a predetermined vehicle response based on the predicted operator action. The predicting the operator action includes comparing the determined upcoming traffic pattern with a similar historic traffic pattern and retrieving a historical operator action in response to the similar historical pattern.