915 results about "Vehicle behavior" patented technology

A method for facilitating cooperation between humans and remote vehicles comprises creating image data, detecting humans within the image data, extracting gesture information from the image data, mapping the gesture information to a remote vehicle behavior, and activating the remote vehicle behavior. Alternatively, voice commands can by used to activate the remote vehicle behavior.

A method and apparatus are provided for determining whether a driving environment has changed relative to previously stored information about the driving environment. The apparatus may include an autonomous driving computer system configured to detect one or more vehicles in the driving environment, and determine corresponding trajectories for those detected vehicles. The autonomous driving computer system may then compare the determined trajectories to an expected trajectory of a hypothetical vehicle in the driving environment. Based on the comparison, the autonomous driving computer system may determine whether the driving environment has changed and/or a probability that the driving environment has changed, relative to the previously stored information about the driving environment.

Systems and methods for obtaining data about road conditions as they pertain to an individual vehicle, using this information to build a model of vehicle behavior as a function of its environment, and aggregating information concerning multiple vehicles along with data from other sources in order to predict vehicle behavior in future environments.

A system for monitoring operator and motor vehicle behavior, including at least one mobile device; application software resident on the mobile device, wherein the application software is operative to gather and record information relevant to both the behavior of a motor vehicle and the behavior of an operator of the motor vehicle, and wherein the application software is activated or deactivated based on certain predetermined trigger events; and at least one information processor in communication with and/or resident on the mobile device, wherein the information processor is operative to process and characterize the information gathered by the application software and communicate the processed and characterized information to a user of the system.

A method for facilitating cooperation between humans and remote vehicles comprises creating image data, detecting humans within the image data, extracting gesture information from the image data, mapping the gesture information to a remote vehicle behavior, and activating the remote vehicle behavior. Alternatively, voice commands can by used to activate the remote vehicle behavior.

The present disclosure teaches a software and hardware system capable of operating on a signal controller platform which detects and records individual vehicle data including but not limited to dangerous driving behavior such as red light running and speeding. The disclosure teaches sharing of the computing platform and infrastructure of the traffic control system. The disclosure also teaches receiving, interpreting, and organizing data collected through the traffic control system's vehicle detection infrastructure, and driving cameras, video, or other recording devices to provide additional evidence of an individual vehicle's behavior.

In a data collection apparatus mounted on a vehicle, an electric control unit sets an abnormality detection condition to detect abnormality of the vehicle based on a condition signal received from an external apparatus located outside the vehicle. The electric control unit determines whether the detection condition is satisfied and stores vehicle control data or vehicle behavior data upon satisfaction of the detection condition as freeze data. The abnormality of the vehicle is analyzed using the freeze data.

A system and method for providing vehicle collision avoidance at an intersection include receiving vehicle parameters from a reference vehicle and environmental parameters from roadside equipment. The system and method also include processing a vehicle behavioral map based on the vehicle parameters and the environmental parameters and transmitting the vehicle behavioral map to a target vehicle. The system and method additionally include processing a confidence table based on the vehicle behavioral map and vehicle parameters provided by the target vehicle. The system and method further include providing a collision avoidance response based on the confidence table, wherein the collision avoidance response is provided to the target vehicle to avoid a possible collision with the reference vehicle at the intersection.

Disclosed is a driver-assistance vehicle including one or more lighting members which are placed within peripheral vision of a driver and which are arranged on respective sides of the vehicle. Furthermore, the driver-assistance vehicle includes a vehicle behavior sensing unit for predicting or sensing a state of the vehicle, and a light controller for controlling the lighting members, based on the sensed state. With this driver-assistance vehicle, the driver can be assisted in distributing his attention.

An autonomous driving merge management system includes an autonomous driving control device and an intention decision management system. The management system includes a candidate strategy subsystem generating a plurality of candidate driving strategies, a merging vehicle behavior recognition subsystem predicting a merging intention of a merging vehicle; an intention-based interactive prediction subsystem predicting future merging scenarios between the host vehicle and merging vehicle as a function of inputs by the merging vehicle behavior recognition subsystem and inputs by the candidate strategy subsystem, and a cost function-based evaluation subsystem determining a cost for each future merging scenario generated by the intention-based interactive prediction subsystem. A processor selects a merge strategy of the host vehicle based on intention-based prediction results and cost function-based evaluation results. The autonomous driving control device applies the merge strategy to the host vehicle for allowing the merging vehicle to cooperatively merge with the host vehicle.

Vehicle motion control devices and methods systematically treat a conditions of each wheel to acquire and maintain the vehicle behavior stability together with anti wheel lock and wheel spin processing, braking forces distribution. Device for controlling a running behavior of a vehicle comprises means for estimating a road reaction force on each wheel, means for calculating a yaw moment around a centroid of the vehicle body generated by the road reaction force on each wheel, and means for controlling driving and braking forces on each wheel based upon the yaw moments so as to stabilize a running of the vehicle. Spin and Drift conditions are detected through presently generated yaw moments and critical yaw moments which can be generated by a road reaction force assumed to be maximized. Physical parameters of each wheels, required for detecting and controlling the behavior of the vehicle are estimated with a theoretical tire model.

A vehicle driving operation support apparatus for a vehicle, includes a sensing section to sense a traveling condition of the vehicle including a surrounding condition inclusive of an obstacle around the vehicle; and a control section to calculate a risk potential for the vehicle in accordance with the traveling condition. The control section performs a support control to support the driver in accordance with the risk potential, performs a first assist control to restrain disturbance (such as vibration from a road) transmitted to the driver in accordance with the risk potential, and performs a second assist control to produce inducement simulating a condition change (such as a vehicle behavior) attributable to an increase of the risk potential, in accordance with the risk potential. The control section further performs a cooperation control to coordinate the first assist control and the second assist control.

A driving assistance system has a driving information acquisition unit that acquires any of an amount of operations by a driver, a vehicle behavior, a state of the driver, and information regarding the environment surrounding a vehicle as driving information, a vehicle location information acquisition unit that acquires vehicle location information, a statistical information generation unit that generates statistical information by statistically processing the driving information as a time-series pattern, an information associating unit that associates the statistical information with the vehicle location information at the time of the acquisition of the driving information, an information reference unit that references and reads the statistical information based on the location information acquired by the vehicle location information acquisition unit, a driving assistance unit that performs driving assistance based on the statistical information read by the information reference unit, and a communication unit.

A vehicle driving assist system has a controller configured to urge a driver to slow down (decelerate) in locations where visibility is poor. The controller detects a traveling condition of a host vehicle, e.g., when the host vehicle is approaching a designated area, such as a school zone, and then selectively executes an imaginary speed limiting road protrusion control that generates an imaginary speed limiting road protrusion by artificially reproducing a vehicle behavior that simulates the host vehicle crosses an actual speed limiting road protrusion arranged on a road surface, based on the traveling condition of the host vehicle.

A technique for simulating natural behaviors of moving objects is provided. A road traffic simulation apparatus includes a simulation unit for performing a traffic simulation, a display unit for displaying a progress status of the traffic simulation and a control unit for controlling the simulation unit. The simulation unit has a traffic environment database and a moving object model. The moving object model has a driver model in which a driving operation of a driver is modeled and a vehicle dynamics model in which a vehicle behavior is modeled. The driver model performs different processes in parallel in respective different cycles. The results of each cycle process are integrated and output to the vehicle dynamics model.

A vehicle surroundings monitoring apparatus, a vehicle surroundings monitoring method, and a vehicle surroundings monitoring program which can rapidly determine an object such as a pedestrian to be avoided which must be avoided from coming into contact with the vehicle from an image of the surroundings of the vehicle and can provide information to a driver or control the vehicle behaviors. The vehicle surroundings monitoring apparatus includes an object extraction process unit (11) which extracts objects existing around a vehicle (10) from images taken by infrared cameras (2R, 2L), a pedestrian extraction process unit (12) which extracts a pedestrian from the extracted objects, a posture determination process unit (13) which determines the posture of the extracted pedestrian, an object-to-be-avoided determination process unit (14) which determines whether the extracted object is an object to be avoided which must be avoided from coming into contact with the vehicle (10) by executing a determination algorithm including at least a first determination process on the posture of the pedestrian determined by the posture determination process unit (13), and a vehicle equipment control process unit (15) which controls equipment of the vehicle (10) at least according to the determination result of the object-to-be-avoided determination process unit (14).