Lane Detection And Tracking By Video Sensors
- doi: 10.1109/ITSC.1999.821030
-
title: Lane detection and tracking by video sensors
- publisher: IEEE
- isbn: 0-7803-4975-X
- issn:
- partnum: 99TH8383
- rank: 2857
- access_type: LOCKED
- content_type: Conferences
-
abstract: Describes a video sensor system for vehicle
environment sensing. The system comprises a high dynamic range CMOS
camera, dedicated image evaluation circuitry and image processing
software for capturing vehicle environment data. The main part of the
paper is concerned with the description of a real-time lane detection
and tracking algorithm which is able to determine the course of the road
ahead of the vehicle together with the position of the vehicle relative
to the road with high accuracy. The key feature of the presented system
is its ability to adapt to nearly all weather conditions and road types
without any external adjustments together with its self-assessment
capabilities, both of which are crucial for automotive applications.
- article_number: 821030
-
pdf_url:
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=821030
-
html_url:
https://ieeexplore.ieee.org/document/821030/
-
abstract_url:
https://ieeexplore.ieee.org/document/821030/
-
publication_title: Proceedings 199 IEEE/IEEJ/JSAI
International Conference on Intelligent Transportation Systems (Cat.
No.99TH8383)
- conference_location: Tokyo, Japan
- conference_dates: 5-8 Oct. 1999
- publication_number: 6644
- is_number: 17743
- publication_year: 1999
- publication_date: 5-8 Oct. 1999
- start_page: 74
- end_page: 79
- citing_paper_count: 35
- citing_patent_count: 25
- download_count: 770
- insert_date: 20020806
-
index_terms:
-
ieee_terms:
- CMOS image sensors
- Road vehicles
- Sensor systems
- Dynamic range
- CMOS process
- Cameras
- Circuits
- Image processing
- Vehicle detection
- Automotive applications
-
dynamic_index_terms:
- Lane Detection
- Video Sensor
- Image Processing
- Tracking Algorithm
- High Dynamic Range
- Automotive Applications
- Universal Type
- System F
- Parameter Estimates
- Covariance Matrix
- Covariance Matrices
- System Design
- Kalman Filter
- Quality Value
- Estimation Process
- Extended Kalman Filter
- Upper Triangular
- Upper Triangular Matrix
- Upper Triangular Matrices
- Axis System
- Image Processing System
- Lane Markings
- Single Gradient
- Border Points
-
isbn_formats:
-
format: Print ISBN,
value: 0-7803-4975-X,
isbnType: Historical
-
authors:
-
Author Name: J. Goldbeck
Affiliation: FV/SLH, Robert Bosch GmbH, Hildesheim,
Germany
Author URL:
https://ieeexplore.ieee.org/author/37087892431
ID: 37087892431
Order: 1
Author Affiliations:
- FV/SLH, Robert Bosch GmbH, Hildesheim, Germany
-
Author Name: B. Huertgen
Affiliation: FV/SLH, Robert Bosch GmbH, Hildesheim,
Germany
Author URL:
https://ieeexplore.ieee.org/author/37087894176
ID: 37087894176
Order: 2
Author Affiliations:
- FV/SLH, Robert Bosch GmbH, Hildesheim, Germany
Image Sensor
- sensor_type: CMOS
- resolution: 512x256 pixels
- dynamic_range: 1 : 100,000
- pixel_size:
- dark_current:
Optical Data
- focal_length:
- aperture:
- field_of_view:
- distortion:
Performance Metrics
- frame_rate: up to 160 frames per second
- signal_to_noise_ratio:
- sensitivity:
- shutter_speed:
- power_consumption:
- noise:
Applications & Benefits
- cell_imaging:
-
benefits: Enables lane sensing for different
applications such as warning devices, driver assistance systems or
vehicle guidance.
Supporting Organizations
- supported_by: Robert Bosch GmbH
Manuscript Details
- publication_date: 5-8 Oct. 1999
Relevancy Score
- score: 9
-
missing_fields:
- pixel_size
- fill factor
- quantum efficiency
- dark current
- signal-to-noise ratio
- dynamic range
- power consumption
- readout speed
- noise sources
- analog-to-digital conversion techniques
- microlenses
- on-chip colour filters
- global or rolling shutters
- backside illumination
Processed JSON Filename
request_868fc4d4-0eb6-4d4e-8d31-776e703360d6-lane_detection_and_tracking_by_video_sensors.json