Abstract: The invention relates generally to tire monitoring systems for collecting measured tire parameter data during vehicle operation and, more particularly, to a system and method for estimating wheel imbalance based upon measurements.

Abstract: A system and method are provided for driving assistance. The system includes an image capture device configured to capture a video sequence, relative to an outward view from a vehicle, which includes a set of objects and is formed from a set of image frames. The system includes a processor configured to detect the objects to form a set of object detections, and track the set of object detections over the frames to form tracked detections. The processor is configured to generate for a current frame, responsive to conditions, a set of sparse object proposals for a current location of an object based on: (i) the tracked detections of the object from an immediately previous frame; and (ii) detection proposals for the object derived from the current frame. The processor is configured to perform an action to mitigate a likelihood of potential harmful due to a current object location.

Abstract: A system and method are provided. The system includes an image capture device configured to capture a video sequence formed from a set of input image frames and including a set of objects. The system further includes a processor configured to detect the objects to form object detections and track the object detections over the input frames to form tracked detections. The processor is also configured to generate for a current input frame, responsive to conditions, a set of sparse object proposals for a current location of an object based on: (i) the tracked detections of the object from an immediately previous input frame; and (ii) detection proposals for the object derived from the current frame. The processor is additionally configured to provide a user perceptible indication of the current location of the object, based on the set of sparse object proposals.

Abstract: A surveillance system and method are provided. The surveillance system includes an image capture device configured to capture a video sequence of a target area that includes a set of objects and is formed from a set of image frames. The surveillance system also includes a processor. The processor is configured to detect the objects to form object detections, and track the object detections over the frames to form tracked detections. The processor is further configured to generate for a current input frame, responsive to conditions, a set of sparse object proposals for a current location of an object based on: (i) the tracked detections of the object from an immediately previous frame; and (ii) detection proposals for the object derived from the current frame. The processor is additionally configured to provide a user perceptible indication of the current location of the object, based on the sparse object proposals.

Abstract: An action recognition system and method are provided. The system includes an image capture device configured to capture a video sequence formed from image frames and depicting a set of objects. The system includes a processor configured to detect the objects to form object detections. The processor is configured to track the object detections over the frames to form tracked detections. The processor is configured to generate for a current frame, responsive to conditions, sparse object proposals for a current location of an object based on: (i) the tracked detections of the object from an immediately previous frame; and (ii) detection proposals for the object derived from the current frame. The processor is configured to control a hardware device to perform a response action in response to an identification of an action type of an action performed by the object, the identification being based on the sparse object proposals.

Abstract: A system and method of adjusting a vehicle anti-lock brake or collision mitigation system includes multiple tire-based sensors mounted to a vehicle tire to generate tire-derivative information. An adaptive tire model processes the tire-derivative information to continuously generate in real-time revisions to multiple tire-specific performance parameters affecting the performance of a vehicle control system. The vehicle control system receives and applies in real-time the tire-sensor based revisions to the tire-specific performance parameters optimize control system performance.

Abstract: A system for predicting tire lift-off propensity of a vehicle tire includes a vehicle tire-affixed tire-identification device for providing a tire-specific identification, multiple tire-affixed sensors mounted to the tire measuring tire-specific parameters and generating tire-specific parameter information, one or more vehicle-affixed sensor(s) mounted to the vehicle to measure vehicle speed and a lift-off propensity estimator generating a lift-off propensity for the vehicle tire from a database containing experimentally-derived, tire-ID specific, lift-off propensities correlated with measured tire-specific parameter information and vehicle speeds.

Abstract: A tire tracking system and method for tracking travel mileage experienced by a vehicle tire includes multiple tire-based sensors affixed to the tire generating identified tire-specific operating condition measurements. The tire-specific operating condition measurements include tire temperature, tire air inflation pressure, a tire wear state measurement and a tire load measurement. A rolling radius estimation model generates a tire rolling radius estimation compensated by the tire-specific operating condition measurements and a vehicle speed estimator generates a vehicle speed estimation based on the compensated tire rolling radius.

Abstract: A tire wear state estimation system estimates forces and sliding velocity generated in a tire contact patch, determines frictional energy from the tire force and sliding velocity, and generates an estimate of tire wear state based upon the frictional work done by the tire. A tire wear estimate, pursuant to the system and methodology, is made by determining the amount of frictional work performed by the tire through the integrated use of tire-mounted, GPS sourced, and vehicle-mounted sensor information.

Abstract: A system and method estimating a vehicle tire load includes a tire static load estimator estimating a static tire load using a tire attached TPMS sensor; a Kalman filter based tire deflection estimator estimating tire vertical deflection; a load variation estimator estimating the instantaneous load variation by using the tire vertical deflection information; and an output tire load estimator calculating an output load estimation mathematically by fusing the static tire load with the instantaneous load variation information. The tire deflection estimator includes a chassis accelerometer measuring a chassis vertical acceleration; and a hub accelerometer measuring a wheel hub vertical acceleration of the tire. A linear filter model receives as inputs the chassis vertical acceleration and the wheel hub vertical acceleration.

Abstract: A road classification system for determining a road surface condition includes a model having as an input changes in the measured axle vertical acceleration of the vehicle. The model further uses a sensor-measured tire inflation pressure and a tire construction type ascertained from a tire-based identification tag.

Abstract: A tire wear state estimation system includes a vehicle-based sensor for measuring wheel speed of a tire-supporting and first and second features extracted from the wheel speed signal. A data classifier conducts a classification of the first extraction feature data relative to the second extraction feature data by a statistical analysis of the wheel speed signal to estimate the wear state of the tire.

Abstract: A system for predicting tire lift-off propensity of a vehicle tire includes a vehicle tire-affixed tire-identification device for providing a tire-specific identification, multiple tire-affixed sensors mounted to the tire measuring tire-specific parameters and generating tire-specific parameter information, one or more vehicle-affixed sensor(s) mounted to the vehicle to measure vehicle speed and a lift-off propensity estimator generating a lift-off propensity for the vehicle tire from a database containing experimentally-derived, tire-ID specific, lift-off propensities correlated with measured tire-specific parameter information and vehicle speeds.

Abstract: A method and system detects actions of an object in a scene by first acquiring a video of the scene as a sequence of images, wherein each image includes pixels, wherein the video is partitioned into chunks. The object in the video is tracked. For each object and each chunk of the video, trajectories of the pixels within a bounding box located over the object are tracked, and cropped trajectories and cropped images for one or more images in the chunk are produced using the bounding box. Then, the cropped trajectories and cropped images are passed to a recurrent neural network (RNN) that outputs a relative score for each action of interest.

Abstract: A tire-based system and method for estimating road surface friction includes a model-based longitudinal stiffness estimation generator using tire-based parameter inputs and vehicle-based parameter inputs; an actual longitudinal stiffness estimation generator using real-time vehicle-based parameter inputs; and a tire road friction estimation generator for deriving a tire road friction estimation from a comparative analysis between the actual longitudinal stiffness estimation and the model-based longitudinal stiffness estimation. A road surface classifier algorithm is employed to generate a road surface type analysis from the road friction estimation, an ambient air temperature measurement, and an ambient air moisture measurement.

Abstract: A tire state estimation system is provided for estimating normal force, lateral force and longitudinal forces based on CAN-bus accessible sensor inputs; the normal force estimator generating the normal force estimation from a summation of longitudinal load transfer, lateral load transfer and static normal force using as inputs lateral acceleration, longitudinal acceleration and roll angle derived from the input sensor data; the lateral force estimator estimating lateral force using as inputs measured lateral acceleration, longitudinal acceleration and yaw rate; and the longitudinal force estimator estimating the longitudinal force using as inputs wheel angular speed and drive/brake torque derived from the input sensor data.

Abstract: An assembly determines operating parameters of a tire. The assembly includes a tripod sensor mounted within an inner cavity of the tire underneath a crown portion and an innerliner on which the tripod sensor is mounted. The tripod sensor includes a tri-axial accelerometer for creating a circumferential signal for determining slip ratio, a lateral signal for determining a slip angle, and a radial signal for determining load on the tire.

Abstract: A tire cornering stiffness estimation system and method includes multiple tire-affixed sensors mounted to a supportive vehicle tire for operably measuring tire-specific parameters and generating tire-specific information relating tire pressure, temperature, wear state, tire identification and tire loading. One or more accelerometer(s) are mounted to the hub supporting the tire to generate a hub accelerometer signal. A model-based tire cornering stiffness estimator is included to generate a model-derived tire cornering stiffness estimation based upon the hub accelerometer signal adapted by the tire-specific information.

Abstract: A road classification system for determining a road surface condition includes a model having as an input changes in the measured axle vertical acceleration of the vehicle. The model further uses a sensor-measured tire inflation pressure and a tire construction type ascertained from a tire-based identification tag.

Abstract: A tire state estimation method is provided for estimating normal force, lateral force and longitudinal forces based on CAN-bus accessible sensor inputs, including deploying a normal force estimator generating the normal force estimation from a summation of longitudinal load transfer, lateral load transfer and static normal force using as inputs lateral acceleration, longitudinal acceleration and roll angle derived from the input sensor data; deploying a lateral force estimator estimating lateral force using as inputs measured lateral acceleration, longitudinal acceleration and yaw rate; and deploying a longitudinal force estimator estimating the longitudinal force using as inputs wheel angular speed and drive/brake torque derived from the input sensor data.