Patent classifications
B60W10/20
VEHICLE DRIVE ASSIST APPARATUS
A vehicle drive assist apparatus for avoiding collision of a vehicle with a recognized object recognizes a surrounding environment around the vehicle; acquires feature information of a three-dimensional object in the surrounding environment; sets a traveling path of the vehicle based on the surrounding environment; recognizes an aerial object based on the feature information; identify a type of the aerial object based on the feature information; determines whether the aerial object has a possibility of hindering traveling of the vehicle; performs steering control based on a control signal; continues normal traveling control when the aerial object does not have the hindrance possibility; estimates a falling point of the aerial object when the aerial object has the hindrance possibility; when the falling point is on the traveling path of the vehicle, sets a new traveling path to steer around the falling point and executes traveling control along the new traveling path.
VEHICLE DRIVE ASSIST APPARATUS
A vehicle drive assist apparatus for avoiding collision of a vehicle with a recognized object recognizes a surrounding environment around the vehicle; acquires feature information of a three-dimensional object in the surrounding environment; sets a traveling path of the vehicle based on the surrounding environment; recognizes an aerial object based on the feature information; identify a type of the aerial object based on the feature information; determines whether the aerial object has a possibility of hindering traveling of the vehicle; performs steering control based on a control signal; continues normal traveling control when the aerial object does not have the hindrance possibility; estimates a falling point of the aerial object when the aerial object has the hindrance possibility; when the falling point is on the traveling path of the vehicle, sets a new traveling path to steer around the falling point and executes traveling control along the new traveling path.
Automatic steering control device
An automatic steering control device includes a forward recognition device, a traveling state detector, a lateral positional deviation calculator, a steering angle controller. The lateral positional deviation calculator calculates a first lateral positional deviation that is the lateral positional deviation ahead of the vehicle by a first distance, and a second lateral positional deviation that is the lateral positional deviation ahead of the vehicle by a second distance larger than the first distance. The steering angle controller performs first control on the steering angle so that an absolute value of the first lateral positional deviation decreases, and second control on the steering angle based on the second lateral positional deviation so that a difference between a change amount of the steering angle in the first control and a change amount of an actual steered angle that is a steered angle of wheels of the vehicle decreases.
Remotely operated automatic driving vehicle with in-vehicle emergency stop feature
A driving control device receives power supply from an accessory battery to operate, controls automatic driving, and outputs a control signal. A steering ECU, a power ECU and a brake ECU instruct a steering mechanism, a PCU and a brake to operate based on the control signal, respectively. An emergency stop switch is operated by an operator. In a case where the emergency stop switch is operated, an interface processing device cuts off a switch to stop the power supply, shuts down the driving control device, and outputs a control signal that causes the steering mechanism, the PCU and the brake to perform an emergency stop operation.
Remotely operated automatic driving vehicle with in-vehicle emergency stop feature
A driving control device receives power supply from an accessory battery to operate, controls automatic driving, and outputs a control signal. A steering ECU, a power ECU and a brake ECU instruct a steering mechanism, a PCU and a brake to operate based on the control signal, respectively. An emergency stop switch is operated by an operator. In a case where the emergency stop switch is operated, an interface processing device cuts off a switch to stop the power supply, shuts down the driving control device, and outputs a control signal that causes the steering mechanism, the PCU and the brake to perform an emergency stop operation.
Lane prediction and smoothing for extended motion planning horizon
Embodiments of the present disclosure are directed to lane marker prediction for occluded lane markers. Image data from one or more sensors of a vehicle is received by a processor of a control system. The image data includes a roadway from a route being navigated by the vehicle and lane marker information. If there are not enough lane markers captured in the lane marker information to produce a threshold look-ahead horizon of the roadway ahead of the vehicle, a longest lane marker ahead of the vehicle from the lane marker information is selected. A curvature tangent to the longest lane marker is computed and predictive lane markers are generated based on the curvature tangent. The vehicle is steered based on the predictive lane markers ahead of the vehicle generated from the curvature tangent.
Lane prediction and smoothing for extended motion planning horizon
Embodiments of the present disclosure are directed to lane marker prediction for occluded lane markers. Image data from one or more sensors of a vehicle is received by a processor of a control system. The image data includes a roadway from a route being navigated by the vehicle and lane marker information. If there are not enough lane markers captured in the lane marker information to produce a threshold look-ahead horizon of the roadway ahead of the vehicle, a longest lane marker ahead of the vehicle from the lane marker information is selected. A curvature tangent to the longest lane marker is computed and predictive lane markers are generated based on the curvature tangent. The vehicle is steered based on the predictive lane markers ahead of the vehicle generated from the curvature tangent.
Group and combine obstacles for autonomous driving vehicles
In one embodiment, a plurality of obstacles is sensed in an environment of an automated driving vehicle (ADV). One or more representations are formed to represent corresponding groupings of the plurality of obstacles. A vehicle route is determined in view of the one or more representations, rather than each and every one of the obstacles individually.
Integrated control apparatus for in-wheel system vehicle
An integrated control apparatus for in-wheel system vehicle is provided. The apparatus includes a shift button for a shift control and a dial for a steering control which are assembled integrally to each other to form one integrated component. The apparatus provides a driver with vehicle information through an operation of the dial when the steering control is not performed, and eliminates a risk of accidents occurring due to a control error by configuring a shift control manner and a steering control manner to be different from each other.
Integrated control apparatus for in-wheel system vehicle
An integrated control apparatus for in-wheel system vehicle is provided. The apparatus includes a shift button for a shift control and a dial for a steering control which are assembled integrally to each other to form one integrated component. The apparatus provides a driver with vehicle information through an operation of the dial when the steering control is not performed, and eliminates a risk of accidents occurring due to a control error by configuring a shift control manner and a steering control manner to be different from each other.