Satzoda et al., 2015 - Google Patents
On enhancing lane estimation using contextual cuesSatzoda et al., 2015
- Document ID
- 2223903543796783568
- Author
- Satzoda R
- Trivedi M
- Publication year
- Publication venue
- IEEE Transactions on Circuits and Systems for Video Technology
External Links
Snippet
Vision-based lane detection is a critical component of modern automotive active safety systems. Although a number of robust and accurate lane estimation (LE) algorithms have been proposed, computationally efficient systems that can be realized on embedded …
- 230000002708 enhancing 0 title abstract description 11
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
- G06K9/00798—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
- 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
- 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
- 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
- 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
- G06K9/36—Image preprocessing, i.e. processing the image information without deciding about the identity of the image
- G06K9/46—Extraction of features or characteristics of the image
-
- 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
- G06T2207/10024—Color image
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
-
- 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
- G06K9/20—Image acquisition
-
- 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
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/16—Anti-collision systems
- G08G1/167—Driving aids for lane monitoring, lane changing, e.g. blind spot detection
-
- 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
-
- 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
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Satzoda et al. | On enhancing lane estimation using contextual cues | |
| Javadi et al. | Vehicle speed measurement model for video-based systems | |
| Ghanem et al. | Lane detection under artificial colored light in tunnels and on highways: an IoT-based framework for smart city infrastructure | |
| EP3229041B1 (en) | Object detection using radar and vision defined image detection zone | |
| EP2549457B1 (en) | Vehicle-mounting vehicle-surroundings recognition apparatus and vehicle-mounting vehicle-surroundings recognition system | |
| Nieto et al. | Real-time lane tracking using Rao-Blackwellized particle filter | |
| Sivaraman et al. | Looking at vehicles on the road: A survey of vision-based vehicle detection, tracking, and behavior analysis | |
| KR101669713B1 (en) | Object detection | |
| CN102016921B (en) | image processing device | |
| CN107103276A (en) | The vision algorithm merged using low layer sensor is performed | |
| JP2016081525A (en) | Vehicular image recognition system and corresponding method | |
| Rasib et al. | Pixel level segmentation based drivable road region detection and steering angle estimation method for autonomous driving on unstructured roads | |
| Liu et al. | Vehicle detection and ranging using two different focal length cameras | |
| KR20220160850A (en) | Method and apparatus of estimating vanishing point | |
| Thakurdesai et al. | Computer vision based position and speed estimation for accident avoidance in driverless cars | |
| Xiong et al. | Fast and robust approaches for lane detection using multi‐camera fusion in complex scenes | |
| Satzoda et al. | Snap-DAS: A vision-based driver assistance system on a Snapdragon TM embedded platform | |
| Dai et al. | A driving assistance system with vision based vehicle detection techniques | |
| Satzoda et al. | Vision-based front and rear surround understanding using embedded processors | |
| Yakimov | Traffic signs detection using tracking with prediction | |
| Lu et al. | Embedded computing framework for vision-based real-time surround threat analysis and driver assistance | |
| JP6861911B2 (en) | Information processing equipment, information processing methods and information processing programs | |
| Ibrahim et al. | FlexiNet: An Adaptive Feature Synthesis Network for Real-Time Ego Vehicle Speed Estimation | |
| Taviti et al. | Monocular Depth Estimation for Vehicles with mounted camera in Mixed Traffic conditions | |
| Chang et al. | Real-time vehicle detection and tracking algorithm for forward vehicle collision warning |