[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Saito et al., 2020 - Google Patents

Robust and accurate object velocity detection by stereo camera for autonomous driving

Saito et al., 2020

View PDF
Document ID
10549255681224766240
Author
Saito T
Okubo T
Takahashi N
Publication year
Publication venue
2020 IEEE Intelligent Vehicles Symposium (IV)

External Links

Snippet

Although the number of camera-based sensors mounted on vehicles has recently increased dramatically, robust and accurate object velocity detection is difficult. Additionally, it is still common to use radar as a fusion system. We have developed a method to accurately detect …
Continue reading at arxiv.org (PDF) (other versions)

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/00624—Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
    • G06K9/00791—Recognising scenes perceived from the perspective of a land vehicle, e.g. recognising lanes, obstacles or traffic signs on road scenes
    • G06K9/00805—Detecting potential obstacles
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/00624—Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
    • G06K9/00791—Recognising scenes perceived from the perspective of a land vehicle, e.g. recognising lanes, obstacles or traffic signs on road scenes
    • G06K9/00798—Recognition of lanes or road borders, e.g. of lane markings, or recognition of driver's driving pattern in relation to lanes perceived from the vehicle; Analysis of car trajectory relative to detected road
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30248—Vehicle exterior or interior
    • G06T2207/30252—Vehicle exterior; Vicinity of vehicle
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S13/00—Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
    • G01S13/88—Radar or analogous systems specially adapted for specific applications
    • G01S13/93—Radar or analogous systems specially adapted for specific applications for anti-collision purposes
    • G01S13/931—Radar or analogous systems specially adapted for specific applications for anti-collision purposes between land vehicles; between land vehicles and fixed obstacles
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S17/00—Systems using the reflection or reradiation of electromagnetic waves other than radio waves, e.g. lidar systems
    • G01S17/88—Lidar systems specially adapted for specific applications
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10016—Video; Image sequence
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S7/00—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00

Similar Documents

Publication Publication Date Title
US11494979B2 (en) Bounding box estimation and lane vehicle association
Stein et al. A robust method for computing vehicle ego-motion
Barth et al. Where will the oncoming vehicle be the next second?
Liu et al. Rear vehicle detection and tracking for lane change assist
CN108638999B (en) Anti-collision early warning system and method based on 360-degree look-around input
US9384401B2 (en) Method for fog detection
AU2014200082B2 (en) Method for measuring a height profile of a vehicle passing on a road
US7103213B2 (en) Method and apparatus for classifying an object
CN113850102B (en) Vehicle-mounted vision detection method and system based on millimeter wave radar assistance
Kowsari et al. Real-time vehicle detection and tracking using stereo vision and multi-view AdaBoost
CN108944668B (en) Auxiliary driving early warning method based on vehicle-mounted 360-degree look-around input
Liu et al. Development of a vision-based driver assistance system with lane departure warning and forward collision warning functions
CN108645375B (en) Rapid vehicle distance measurement optimization method for vehicle-mounted binocular system
JP2018516799A (en) Method and apparatus for recognizing and evaluating road surface reflections
Kuramoto et al. Mono-camera based 3D object tracking strategy for autonomous vehicles
Lim et al. Real-time forward collision warning system using nested Kalman filter for monocular camera
CN114495064A (en) Monocular depth estimation-based vehicle surrounding obstacle early warning method
CN105512641A (en) Method for using laser radar scanning method to calibrate dynamic pedestrians and vehicles in video in snowing or raining state
US10839522B2 (en) Adaptive data collecting and processing system and methods
Lion et al. Smart speed bump detection and estimation with kinect
Hussain et al. Multiple objects tracking using radar for autonomous driving
CN117452410A (en) Millimeter wave radar-based vehicle detection system
CN110944895B (en) Method and device for determining the optical flow from a sequence of images recorded by a camera of a vehicle
Saito et al. Robust and accurate object velocity detection by stereo camera for autonomous driving
Zeisler et al. Vision based lane change detection using true flow features