46 results about "Road sign recognition" patented technology

A method for recognizing road signs in the vicinity of a vehicle and for synchronization thereof to road sign information from a digital map where, in the case of a recognition of road signs, road-sign recognition data are generated, navigation data being provided for localizing the vehicle in digital map data, and the road-sign recognition data being synchronized to the map data. To be able to provide unambiguous and the most accurate possible and thus improved road sign information to be output to the driver in the context of such a method, in the case of a discrepancy between the map data and the road-sign recognition data, the decision is made with the aid of reliability factors for the camera and map as to whether the data from the digital map or the road-sign recognition data are output in the vehicle.

A method for recognizing road signs in the vicinity of a vehicle and for synchronization thereof to road sign information from a digital map where, in the case of a recognition of road signs, road-sign recognition data are generated, navigation data being provided for localizing the vehicle in digital map data, and the road-sign recognition data being synchronized to the map data. To be able to provide unambiguous and the most accurate possible and thus improved road sign information to be output to the driver in the context of such a method, in the case of a discrepancy between the map data and the road-sign recognition data, the decision is made with the aid of reliability factors for the camera and map as to whether the data from the digital map or the road-sign recognition data are output in the vehicle.

A driving support device detects a speed limit by imaging a speed sign indicating the speed limit of a traveling lane. Also, the driving support device continuously acquires attribute information from a car navigation system. The speed limit recognized from a road sign is displayed on a screen mounted in a vehicle. When the speed limit recognized from the road sign is not equal to a speed limit acquired from the car navigation system, a display time of the speed limit is limited. When the attribute information is changed, display of the speed limit is stopped.

Disclosed are a road surface marker recognition device and a method. The device includes an infrared transceiver that is configured to irradiate an infrared beam on a road surface and receive the reflected beam to detect a distance from a road surface and the strength of the reflected beam. The device further includes a controller that is configured to create a road map of the road using distance information, signal strength information, and speed information of a vehicle so as to define a marker shape of the road. Furthermore, the controller is configured to compare the defined marker shape with stored marker information to determine a definition of the marker shape and output the marker shape definition.

The present invention includes: image capturing means (2) which captures a color image of a road via imaging means (7); area extraction means (3) which extracts areas having a similar color feature value from the captured color image of the road; white balance processing means (5) which performs, for each of the extracted areas, a white balance process of correcting each pixel data in the extracted area so as to reduce the degree of divergence in the level between color components according to a level balance between the color components of the pixel data in the extracted area; and road sign detection means (6) which detects a road sign on the road from the color image subjected to the white balance process. Thus, even if the road illumination state is partially different, it is possible to accurately detect a road sign such as a lane mark from the captured color image of the road via the imaging means such as a camera.

The invention adopts a characteristic extracting technology of a local characteristic matching technology and performs characteristic matching by using a method combining characteristic extraction and binary characteristic description based on a curvature in accordance with road sign matching scene application requirements of outdoor scenes. An algorithm utilizes reasonable characteristic of characteristic distribution based on a curvature algorithm and solves the problem that the distribution of characteristics is uneven, the defect that the real-time capability of other algorithms is weaker is overcome through the binary description algorithm, and finally the validity and the real-time capability of the algorithm are contrasted through experiments. Results indicate that the algorithm can ensure the real-time capability, at the same time, effective even characteristic points are extracted, and the algorithm has better practicality and robustness.

The invention is based on a machine vision early warning system and method for driving in fog and missing road signs, and belongs to the technical field of intelligent vehicle safety assisted driving. The present invention constructs a real-time road sign recognition early warning strategy by means of a road traffic sign recognition classifier, a road traffic sign character classification recognition neuron network classifier, a driver fatigue pattern classifier, a fog-free image classifier, and an image defogging model . According to the driver's gaze trajectory, blink frequency, and PERCLOS value, if it is judged that the driver is fatigued or misses traffic sign information due to performing secondary tasks during driving, the car speaker will issue a sound warning of real-time sign information and display it on the car display. Display the warning sign information, and if it is judged to be foggy, it will also provide the driver with visual and auditory warnings, so that the driver can obtain road traffic sign information and driving safety warnings under the conditions of foggy weather and drivers missing road signs .