Kilicarslan et al., 2018 - Google Patents
Predict vehicle collision by TTC from motion using a single video cameraKilicarslan et al., 2018
View PDF- Document ID
- 3546024505306730190
- Author
- Kilicarslan M
- Zheng J
- Publication year
- Publication venue
- IEEE Transactions on Intelligent Transportation Systems
External Links
Snippet
The objective of this paper is the instantaneous computation of time-to-collision (TTC) for potential collision only from the motion information captured with a vehicle borne camera. The contribution is the detection of dangerous events and degree directly from motion …
- 238000001914 filtration 0 abstract description 14
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
- 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
- G06K9/32—Aligning or centering of the image pick-up or image-field
-
- 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
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/04—Detecting movement of traffic to be counted or controlled using optical or ultrasonic detectors
-
- 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
- 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
- G01S17/93—Lidar systems specially adapted for specific applications for anti-collision purposes
-
- 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
- G06K2209/00—Indexing scheme relating to methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K2209/23—Detecting or categorising vehicles
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Kilicarslan et al. | Predict vehicle collision by TTC from motion using a single video camera | |
| US7046822B1 (en) | Method of detecting objects within a wide range of a road vehicle | |
| US7786898B2 (en) | Fusion of far infrared and visible images in enhanced obstacle detection in automotive applications | |
| US7027615B2 (en) | Vision-based highway overhead structure detection system | |
| US11093762B2 (en) | Method for validation of obstacle candidate | |
| US20050232463A1 (en) | Method and apparatus for detecting a presence prior to collision | |
| US7103213B2 (en) | Method and apparatus for classifying an object | |
| CN103578115A (en) | Moving object recognition systems and moving object recognition methods | |
| CN101256073A (en) | Apparatus and method for monitoring a vehicle's surroundings | |
| JP2000090243A (en) | Perimeter monitoring device and method | |
| US7672514B2 (en) | Method and apparatus for differentiating pedestrians, vehicles, and other objects | |
| CN104115201B (en) | Stereoscopic article detection means | |
| CN107229906A (en) | A kind of automobile overtaking's method for early warning based on units of variance model algorithm | |
| CN104115204B (en) | Three-dimensional object detection device | |
| Seki et al. | Robust obstacle detection in general road environment based on road extraction and pose estimation | |
| Kilicarslan et al. | Direct vehicle collision detection from motion in driving video | |
| Liu et al. | Vehicle–bicyclist dynamic position extracted from naturalistic driving videos | |
| Kanhere | Vision-based detection, tracking and classification of vehicles using stable features with automatic camera calibration | |
| Philipsen et al. | Day and night-time drive analysis using stereo vision for naturalistic driving studies | |
| Seo et al. | Use of a monocular camera to analyze a ground vehicle’s lateral movements for reliable autonomous city driving | |
| Chai et al. | Automatic vehicle classification and tracking method for vehicle movements at signalized intersections | |
| Kilicarslan et al. | Bridge motion to collision alarming using driving video | |
| KR102241324B1 (en) | Method for Range Estimation with Monocular Camera for Vision-Based Forward Collision Warning System | |
| Hariyono et al. | Estimation of collision risk for improving driver's safety | |
| Bui et al. | Multi-sensors people detection system for heavy machines |