Keler et al., 2021 - Google Patents
Data-Driven Scenario Specification for AV–VRU Interactions at Urban Roundabouts. Sustainability 2021, 13, 8281Keler et al., 2021
View PDF- Document ID
- 606069887321547
- Author
- Keler A
- Malcolm P
- Grigoropoulos G
- Hosseini S
- Kaths H
- Busch F
- Bogenberger K
- Publication year
External Links
Snippet
Detailed specifications of urban traffic from different perspectives and scales are crucial for understanding and predicting traffic situations from the view of an autonomous vehicle (AV). We suggest a data-driven specification scheme for maneuvers at different design elements …
Classifications
-
- 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
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in preceding groups
- G01C21/26—Navigation; Navigational instruments not provided for in preceding groups specially adapted for navigation in a road network
- G01C21/34—Route searching; Route guidance
-
- 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
- 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
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/50—Computer-aided design
- G06F17/5009—Computer-aided design using simulation
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/09—Arrangements for giving variable traffic instructions
- G08G1/0962—Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/07—Controlling traffic signals
- G08G1/08—Controlling traffic signals according to detected number or speed of vehicles
-
- 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Essa et al. | Simulated traffic conflicts: do they accurately represent field-measured conflicts? | |
| CN112789619B (en) | Simulation scene construction method, simulation method and device | |
| Chao et al. | A survey on visual traffic simulation: Models, evaluations, and applications in autonomous driving | |
| Sayed et al. | Automated safety diagnosis of vehicle–bicycle interactions using computer vision analysis | |
| Ramanishka et al. | Toward driving scene understanding: A dataset for learning driver behavior and causal reasoning | |
| Zheng et al. | Traffic conflict techniques for road safety analysis: open questions and some insights | |
| Zyner et al. | ACFR five roundabouts dataset: Naturalistic driving at unsignalized intersections | |
| Keler et al. | A bicycle simulator for experiencing microscopic traffic flow simulation in urban environments | |
| US20240017747A1 (en) | Method and system for augmenting lidar data | |
| Dong et al. | Development and testing of an image transformer for explainable autonomous driving systems | |
| US20220172606A1 (en) | Systems and Methods for Extracting Data From Autonomous Vehicles | |
| Schachner et al. | Development and evaluation of potential accident scenarios involving pedestrians and AEB-equipped vehicles to demonstrate the efficiency of an enhanced open-source simulation framework | |
| Lee et al. | An agent-based model for queue formation of powered two-wheelers in heterogeneous traffic | |
| Keler et al. | Data-driven scenario specification for AV–VRU interactions at urban roundabouts | |
| Töttel et al. | Reliving the dataset: Combining the visualization of road users’ interactions with scenario reconstruction in virtual reality | |
| Duah et al. | Divneds: Diverse naturalistic edge driving scene dataset for autonomous vehicle scene understanding | |
| Nguyen et al. | Describing non–lane-based motorcycle movements in motorcycle-only traffic flow | |
| AlRajie | Investigation of using microscopic traffic simulation tools to predict traffic conflicts between right-turning vehicles and through cyclists at signalized intersections | |
| Yan et al. | Onsitevru: A high-resolution trajectory dataset for high-density vulnerable road users | |
| Keler et al. | Data-Driven Scenario Specification for AV–VRU Interactions at Urban Roundabouts. Sustainability 2021, 13, 8281 | |
| Zaki et al. | Comprehensive safety diagnosis using automated video analysis: Applications to an urban intersection in Edmonton, Alberta, Canada | |
| Nguyen et al. | An application of social force approach for motorcycle dynamics | |
| Essa | Calibration and validation of traffic microsimulation models for safety evaluation using automated video-based conflict analysis | |
| Kassim et al. | Modeling cyclists speed at signalized intersections: Case study from Ottawa, Canada | |
| Keler et al. | Designing Maps for Bicycling Simulator Studies–three practical Approaches |