Guo, 2018 - Google Patents
Accuracy improvement of pedestrian trajectory prediction by an extended Kalman filter and pedestrian behavior classificationGuo, 2018
View PDF- Document ID
- 10421026248586773067
- Author
- Guo J
- Publication year
External Links
Snippet
The objective of this thesis is to improve the accuracy of predicting motion trajectory, ie, speed and direction, of a pedestrian in front of an Ego Vehicle which has a Mobileye camera with an advanced driver assistance system (ADAS). The Ego Vehicle captures and records …
- 230000006399 behavior 0 abstract description 65
Classifications
-
- 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
- G08G1/16—Anti-collision systems
- G08G1/166—Anti-collision systems for active traffic, e.g. moving vehicles, pedestrians, bikes
-
- 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
- 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
- G08G1/0125—Traffic data processing
- G08G1/0129—Traffic data processing for creating historical data or processing based on historical data
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN109927719B (en) | Auxiliary driving method and system based on obstacle trajectory prediction | |
Bila et al. | Vehicles of the future: A survey of research on safety issues | |
CN110248861B (en) | Guiding a vehicle using a machine learning model during vehicle maneuvers | |
JP6925796B2 (en) | Methods and systems, vehicles, and computer programs that assist the driver of the vehicle in driving the vehicle. | |
CN106952471B (en) | Prediction of driver intent at an intersection | |
Bonnin et al. | Pedestrian crossing prediction using multiple context-based models | |
US9767368B2 (en) | Method and system for adaptive ray based scene analysis of semantic traffic spaces and vehicle equipped with such system | |
JP5938569B2 (en) | Advanced driver support system considering azimuth information and operation method thereof | |
JP5278419B2 (en) | Driving scene transition prediction device and vehicle recommended driving operation presentation device | |
Sivaraman et al. | Learning multi-lane trajectories using vehicle-based vision | |
JP2018152056A (en) | Risk-based driver assistance for approaching intersections with limited visibility | |
US9592828B2 (en) | Long term driving danger prediction system | |
CN108615407A (en) | Device and method for preventing pedestrian impact accident | |
JP2024023319A (en) | Detection of emergency vehicle | |
Milanés et al. | Vision-based active safety system for automatic stopping | |
JP2015138552A (en) | Method and system for estimating lane relative position for driver support system | |
JP7507930B2 (en) | Accident Analysis Equipment | |
JP7454685B2 (en) | Detection of debris in vehicle travel paths | |
JP5895728B2 (en) | Vehicle group management device | |
Gao et al. | Discretionary cut-in driving behavior risk assessment based on naturalistic driving data | |
JP2010039718A (en) | Vehicle control device, vehicle control method, and vehicle control processing program | |
Guo | Accuracy improvement of pedestrian trajectory prediction by an extended Kalman filter and pedestrian behavior classification | |
JP7532569B2 (en) | Method and apparatus for determining pedestrian location | |
Klette et al. | Vision-based driver assistance systems | |
CN116524454A (en) | Object tracking device, object tracking method, and storage medium |