Patent classifications
B60W2556/50
METHOD FOR DETERMINING A SPEED PROFILE OF A MOTOR VEHICLE WITH NON-PREDETERMINED ACCELERATION
A method for determining a speed profile to be followed by a vehicle, including acquiring event data including a distance from an event and a target speed at this event for the vehicle, and determining a speed profile to be followed as a function of time, between an initial speed and the target speed in three successive distinct phases, respectively a first phase in which the jerk is set constant at a predetermined maximum jerk value to reach an optimal target acceleration value, a second phase in which the optimal target acceleration value is kept constant, and a third phase in which the jerk is again set constant to reach a zero acceleration value at the end of the third phase. The optimal target acceleration value is such that the distance required to carry out the three phases of the profile is equal to the distance from the event.
System and method for providing visual assistance to an individual suffering from motion sickness
A system and a method for providing visual assistance to an individual suffering from motion sickness. The system includes: a sensor configured to measure movement data of a vehicle in real time; an artificial horizon device designed to generate an image of an artificial horizon in real time on the basis of the movement data of the vehicle; and a wearable augmented reality device designed to display the image of the artificial horizon in real time to an individual who is wearing the wearable device and is a passenger in the vehicle.
Using ISA system to implement a speed policy identified based on profile of a driving instance
An automated method of controlling a speed of a vehicle includes identifying parameters of a driving instance of the vehicle; identifying a predetermined profile that is applicable to the driving instance based on the identified parameters; identifying a predetermined speed policy applicable to the driving instance based on the identified profile; and implementing the identified speed policy during the driving instance. The method may be repeated during the driving instance, whereby the speed policy that is implemented is automatically updated when one or more changes in the identified parameters cause a different predetermined speed policy to be identified. Parameter may include driver parameters (e.g., driver age and driver experience); vehicle parameters (e.g., vehicle age, mileage, and tire wear) tire maintenance information); behavior parameters (e.g., speed, acceleration, hard braking of the vehicle, following distance, swerving, and cornering); and circumstance parameters (e.g., time of day, road information, inclement weather, and traffic congestion).
Coasting Operation for a Vehicle with a Hybrid Drive
Various embodiments include a method for operating a hybrid drive train for a motor vehicle having an output shaft from an internal combustion engine releasably connected to a shaft of an electric traction machine via a first clutch, wherein the shaft of the electric traction machine is releasably connected to a transmission input shaft via a second clutch. The method may comprise: determining a state parameter for the motor vehicle; and opening either the first clutch or the second clutch for a changeover to coasting operation of the hybrid drive train based on a function of one or more state parameters.
VEHICLE CONTROL DEVICE, VEHICLE, VEHICLE CONTROL METHOD AND STORAGE MEDIUM
A vehicle control device controls travel of a vehicle by performing state transition for a plurality of control states having different driving assistance levels based on vehicle surrounding information. The vehicle control device comprises: an acquisition unit configured to acquire the vehicle surrounding information; and a control unit configured to control the state transition and braking operation of the vehicle based on the information acquired by the acquisition unit, wherein, based on the information, the control unit is configured to transition from a first control state set for travel of the vehicle to a second control state with a lower driving assistance level in a case where it is determined that another vehicle is crossing a lane line in front of the vehicle in a lane where the vehicle is traveling.
DELIVERY VEHICLE
A delivery vehicle includes: a main body portion equipped with a moving mechanism; and a control section provided at the main body portion, wherein the control section includes: an autonomous driving executing section that controls the moving mechanism and makes it possible for the main body portion to travel autonomously; a destination information acquiring section that acquires information relating to a delivery destination or a collection destination of a package; a data transmitting section transmitting predetermined data for authentication to a management system that manages a secure area on a delivery path; and a data acquiring section that, in a case in which the data for authentication is authenticated by the management system, acquires area information including map information of the secure area from the management system.
Graph Exploration for Rulebook Trajectory Generation
Provided are methods for graph exploration for rulebook trajectory generation. Some methods described include generating a next set of alternative trajectories for the vehicle from a next pose, the next set of alternative trajectories representing operation of the vehicle from the next pose, wherein the next pose is located at an end of an identified trajectory. Next trajectories are iteratively identified from corresponding next sets of alternative trajectories, wherein a next trajectory violates a lowest behavioral rule of the hierarchical plurality of rules, the lowest behavioral rule having a priority less than a priority of behavioral rules associated with other trajectories in a corresponding next set of alternative trajectories until a goal pose or timeout is reached to generate a graph. Systems and computer program products are also provided.
Processing graph representations of tactical maps using neural networks
A graph representation of a tactical map representing a plurality of static components of an environment of a vehicle is generated. Nodes of the graph represent static components, and edges represent relationships between multiple static components. Different edge types are used to indicate respective relationship semantics among the static components. Individual nodes are represented as having the same number and types of edges in the graph. Using the graph as input to a neural network based model, a set of results is obtained. A motion control directive based at least in part on the results is transmitted to a motion-control subsystem of the vehicle.
Multi-layered approach for path planning and its execution for autonomous cars
A multi-layer path-planning system and method calculates trajectories for autonomous vehicles using a global planner, a fast local planner, and an optimizing local planner. The calculated trajectories are used to guide the autonomous vehicle along a bounded path between a starting point and a destination.
Systems and methods for navigating a vehicle among encroaching vehicles
Systems and methods use cameras to provide autonomous navigation features. In one implementation, a method for navigating a user vehicle may include acquiring, using at least one image capture device, a plurality of images of an area in a vicinity of the user vehicle; determining from the plurality of images a first lane constraint on a first side of the user vehicle and a second lane constraint on a second side of the user vehicle opposite to the first side of the user vehicle; enabling the user vehicle to pass a target vehicle if the target vehicle is determined to be in a lane different from the lane in which the user vehicle is traveling; and causing the user vehicle to abort the pass before completion of the pass, if the target vehicle is determined to be entering the lane in which the user vehicle is traveling.