An imaging system for a vehicle includes an imaging device having a field of view exteriorly and forward of the vehicle in its direction of travel, and an image processor operable to process the captured images in accordance with an algorithm. The algorithm comprises a sign recognition routine and a character recognition routine. The image processor processes the image data captured by the imaging device to detect signs in the field of view of the imaging device and applies the sign recognition routine to determine a sign type of the detected sign. The image processor is operable to apply the character recognition routine to the image data to determine information on the detected sign. The image processor applies the character recognition routine to the captured images in response to an output of the sign recognition routine being indicative of the detected sign being a sign type of interest.

Imaging system for vehicle

An adaptive interface for a programmable system, for predicting a desired user function, based on user history, as well as machine internal status and context. The apparatus receives an input from the user and other data. A predicted input is presented for confirmation by the user, and the predictive mechanism is updated based on this feedback. Also provided is a pattern recognition system for a multimedia device, wherein a user input is matched to a video stream on a conceptual basis, allowing inexact programming of a multimedia device. The system analyzes a data stream for correspondence with a data pattern for processing and storage. The data stream is subjected to adaptive pattern recognition to extract features of interest to provide a highly compressed representation that may be efficiently processed to determine correspondence. Applications of the interface and system include a video cassette recorder (VCR), medical device, vehicle control system, audio device, environmental control system, securities trading terminal, and smart house. The system optionally includes an actuator for effecting the environment of operation, allowing closed-loop feedback operation and automated learning.

Adaptive pattern recognition based control system and method

System and method for preventing vehicle accidents in which GPS ranging signals relating to a host vehicle's position on a roadway on a surface of the earth are received on a first communication link from a network of satellites and DGPS auxiliary range correction signals for correcting propagation delay errors in the GPS ranging signals are received on a second communication link from a station or satellite. The host vehicle's position on a roadway on a surface of the earth is determined from the GPS, DGPS, and accurate map database signals with centimeter accuracy and communicated to other vehicles. The host vehicle receives position information from other vehicles and determines whether any other vehicle from which position information is received represents a collision threat to the host vehicle based on the position of the other vehicle relative to the roadway and the host vehicle. If so, a warning or vehicle control signal response to control the host vehicle's motion is generated to prevent a collision with the other vehicle.

Accident avoidance system

A forward-facing vision system for a vehicle includes a forward-facing camera disposed in a windshield electronics module attached at a windshield of the vehicle and viewing through the windshield. A control includes a processor that, responsive to processing of captured image data, detects taillights of leading vehicles during nighttime conditions and, responsive to processing of captured image data, detects lane markers on a road being traveled by the vehicle. The control, responsive to lane marker detection and a determination that the vehicle is drifting out of a traffic lane, may control a steering system of the vehicle to mitigate such drifting, with the steering system manually controllable by a driver of the vehicle irrespective of control by the control. The processor, based at least in part on detection of lane markers via processing of captured image data, determines curvature of the road being traveled by the vehicle.

Vision system for vehicle

A vehicular vision system includes a camera having a lens and a CMOS photosensor array having a plurality of photosensor elements. The camera is disposed at an interior portion of a vehicle equipped with the vehicular vision system. The camera one of (i) views exterior of the equipped vehicle through the windshield of the equipped vehicle and forward of the equipped vehicle and (ii) views from the windshield of the equipped vehicle into the interior cabin of the equipped vehicle. A control includes an image processor that processes image data captured by the photosensor array. The image processor processes captured image data to detect an object viewed by the camera. The photosensor array is operable at a plurality of exposure periods and at least one exposure period of the plurality of exposure periods is dynamically variable.

Vehicular vision system

When the vehicle has deviated or is deviating from a lane on which the vehicle has been or is running, the deviation of the vehicle from the lane can be suppressed, for example, by allowing the steering wheel to be operatively rotated prior to an intention of the operator. The timing of suppressing the deviation of the vehicle can be altered in accordance with conditions including, for example, the existence of a lane in the direction of deviation of the vehicle on which another vehicle is running in the same direction, the existence of an obstacle in the direction of deviation of the vehicle, the existence of an adjacent lane in the direction of deviation of the vehicle on which another vehicle is running in the opposite direction, a state of the lane on which the vehicle is running, such as a curved lane or a straight lane, a direction of deviation is outside or inside the curved lane or a lane width, a vehicle speed, a steering angle of a steering wheel, an extent of vision, and so on.

Navigation control system with adaptive characteristics

An obstacle detection system for an automotive vehicle detects obstacles ahead of the vehicle and finds the dynamic relativity between the vehicle and each of the obstacles. Based on the dynamic relativity, information relating to a danger level between the vehicle and each obstacle is operated on so as to make a danger judgement. A frequency, at which the operations on the information relating to danger level are made, is increasingly or decreasingly varied according to the danger levels of the obstacles.

Obstacle detection system for automotive vehicle

We have studied active safety technologies from the standpoint of “collision avoidance”. This paper describes a rear-end collision avoidance system with automatic brake control, which avoids a collision to the vehicle in front caused by inadvertent human errors using automatic emergency braking. The system is comprised of four key technological elements, headway distance measurement using scanning laser radar, path estimation algorithm with vehicle dynamics, collision prediction to the vehicle in front by a safe/danger decision algorithm, and longitudinal automatic brake control.

Development of a rear-end collision avoidance system with automatic brake control

A suspension system of a vehicle which judges the direction of a damping force of a shock absorber of damping force characteristic variable type, provided between the sprung member and the unsprung member, either oscillation-stimulating direction or oscillation-restraining direction with respect to vertical osciallation of the sprung member, and it also judges the size of the damping force of the shock absorber. The damping force characteristic of the shock absorber is set higher when it is larger than the predetermined value and it is set lower when it is less than the predertemined value. The predetermined value can be changed according to the road surface, oscillation-restraining energy becomes larger than the oscillation-stimulating energy thereby. Therefore, improvement of the comfortableness to ride in and running stability can be planned and also, noise and oscillation caused by unnecessary changes of the damping force characteristic of the shock absorber in a high oscillation frequency range due to road bumps can be reduced.

Suspension system for a vehicle

An obstacle detection system for a motor vehicle detects obstacles in front of the vehicle and searches for the dynamic relativity between the vehicle and each of the obstacles and on the basis of this an item of information is calculated relating to the level of risk between the vehicle and each obstacle in order to carry out an evaluation of risk. A frequency at which the calculation of the information relating to the level of risk is carried out is changed so as to increase or decrease according to the level of risk of the obstacles.

Yasunori Yamamoto

Papers

Navigation control system with adaptive characteristics

Obstacle detection system for automotive vehicle

Development of a rear-end collision avoidance system with automatic brake control

Suspension system for a vehicle

Obstacle detection system for motor vehicles