Patent classifications
B60W2554/803
Method and apparatus for vision based lateral acceleration prediction
The present application relates to a method and apparatus including a sensor for detecting a first vehicle speed, a camera operative to capture an image, a processor operative to determine a road curvature in response to the image, the processor further operative to determine a first predicted lateral acceleration in response to the road curvature and the first vehicle speed, the processor further operative to determine a second vehicle speed in response to the first predicted lateral acceleration exceeding a threshold value wherein the second vehicle speed results in a second predicted lateral acceleration being less than the threshold value, and to generate a control signal indicative of the second vehicle speed, and a vehicle controller operative to reduce a vehicle velocity to the second vehicle speed in response to the control signal.
Blind spot detection device for vehicle, method thereof, and steering wheel device
A device for blind spot detection of a vehicle, a method thereof and a steering wheel device are provided. The device includes a steering wheel, a lighting device, a blind spot detector, and a controller. The steering wheel comprises a configuration area including a fixed point, and the fixed point is represented as a virtual location of the vehicle. The lighting device includes a luminous light strip and a dimming driver. The luminous light strip assembled on the steering wheel surrounds the fixed point. The dimming driver controls lamp signals of the luminous light strip. The controller obtains a detection result of whether at least one object is approaching the vehicle, and controls the lamp signals to present a relative position between the vehicle and the at least one object and a degree of proximity between the vehicle and the at least one object according to the lamp signals.
Simultaneous lane change situational awareness
A system and method for predicting a collision between a host vehicle and a target vehicle operating on a multi-lane roadway may include determining the host and target vehicles are converging from respective first and second lanes to a third lane intermediate the first and second lanes. A predetermined set of conditions is evaluated including relationships among the host and target vehicle separations and speeds, and a collision predicted based upon the evaluation.
VEHICLE DRIVING ASSIST APPARATUS
A vehicle driving assist apparatus suspends executing a following moving control and starts executing a process of measuring an elapsing time which elapses since suspending executing the following moving control when a control suspending condition that a driver of an own vehicle carries out an accelerating operation of accelerating the own vehicle in order to pass the next lane preceding vehicle, becomes satisfied, resets the elapsing time and start measuring the elapsing time which elapses since resetting the elapsing time when the own vehicle has passed the next lane preceding vehicle before the elapsing time reaches a predetermined time, and restarts executing the following moving control when a control restarting condition that the elapsing time reaches the predetermined time, is satisfied.
VEHICLE CONTROL DEVICE, OPERATION METHOD OF VEHICLE CONTROL DEVICE, AND STORAGE MEDIUM
A device comprising: an acquisition unit that acquires surrounding information of a self-vehicle; and a control unit that controls traveling of the self-vehicle based on the surrounding information, wherein the control unit estimates whether a traveling speed of the self-vehicle will be equal to or less than a predetermined speed based on a relative speed between a traveling speed of the self-vehicle and a traveling speed of another vehicle traveling in a merging lane merging into a traveling lane in which the self-vehicle is traveling and based on a relative distance between the self-vehicle and the other vehicle, and when estimating that the traveling speed of the self-vehicle will be equal to or less than the predetermined speed, disables an automatic lane change operation of the self-vehicle to an adjacent lane adjacent to the traveling lane.
TRAVEL CONTROL APPRATUS AND TRAVEL CONTROL METHOD
A travel control apparatus is configured to control a travel of a vehicle so as to travel along a target path. The travel control apparatus is configured to perform: acquiring a change schedule information of a traffic light installed over each of a plurality of merge lanes that merge with a main line and configured to be able to change an indication form between a first indication form permitting the vehicle to merge with the main line and a second indication form instructing the vehicle to stop before a stop line; determining a merge lane on which the vehicle travels among the plurality of merge lanes, based on the change schedule information of a traffic light located in a travel direction of the vehicle; and generating a target path of the vehicle leading to the stop line of the merge lane.
CONTROLLER, METHOD, AND COMPUTER PROGRAM FOR CONTROLLING VEHICLE
A vehicle controller includes a processor configured to: input characteristics extracted from an object region representing a target vehicle in an image obtained by a camera of a vehicle into a light-state classifier to identify a light state that is the state of a signal light of the target vehicle; determine a first control value, based on the result of identification of the light state and the positional relationship between the vehicle and the target vehicle, in accordance with a predetermined rule; input the result of identification of the light state into a control command classifier, which has been trained to output a second control value for controlling the vehicle to avoid a collision between the vehicle and the target vehicle, thereby determining the second control value; and determine an integrated control value to be used for controlling the vehicle, based on the first and second control values.
SYSTEMS AND METHODS FOR VEHICULAR COLLISION DETECTION BASED ON MULTI-DIMENSIONAL COLLISION MODELS
A system described herein may generate one or more models based on relationship data associated with multiple objects. The models may include one or more thresholds (e.g., which may indicate potential collisions between objects). The system may compare relationship data, associated with a particular vehicle and a particular object, with the one or more thresholds associated with the one or more models, and determine whether the relationship data associated with the particular vehicle and the particular object is rare data with respect to the one or more models. When the relationship data associated with the particular vehicle and the particular object is not rare data, the system may refraining from causing the particular vehicle to perform a collision prevention measure, and when the relationship data associated with the particular vehicle and the particular object is rare data, the system may cause the particular vehicle to perform the collision prevention measure.
COLLISION AVOIDING ASSIST SYSTEM AND COLLISION AVOIDING ASSIST APPARATUS
A collision avoiding assist system avoids a collision of a first vehicle and a second vehicle. The collision avoiding assist system includes a first collision avoiding assist apparatus of the first vehicle and a second collision avoiding assist apparatus of the second vehicle. The second collision avoiding assist apparatus transmits a second wireless signal when determining that the first and second vehicles are colliding with each other, based on information, based on a first wireless signal transmitted from the first collision avoiding assist apparatus, and information from a surrounding information sensor apparatus of the second vehicle. The first collision avoiding assist apparatus executes a collision avoiding process for the first vehicle to avoid the collision of the first and second vehicles when the first collision avoiding assist apparatus receives the second wireless signal.
Collision Avoidance Method and System for a Vehicle
A collision avoidance method for a vehicle includes monitoring a lateral distance between the vehicle and a target vehicle while the vehicle is travelling within a first lane and the target vehicle is travelling within an adjacent second lane, activating a warning on the vehicle and automatically adjusting operation of the vehicle to increase the distance between the vehicle and the target vehicle when the lateral distance between the vehicle and the target vehicle is less than the threshold distance while the vehicle is travelling within the first lane. Automatically adjusting operation of the vehicle may include one or both of steering the vehicle laterally away from the target vehicle and adjusting a longitudinal velocity of the vehicle. A related collision avoidance system is also provided.