GB202105220D0 - Motion prediction with ego motion compensation and consideration of occluded objects - Google Patents
Motion prediction with ego motion compensation and consideration of occluded objectsInfo
- Publication number
- GB202105220D0 GB202105220D0 GBGB2105220.4A GB202105220A GB202105220D0 GB 202105220 D0 GB202105220 D0 GB 202105220D0 GB 202105220 A GB202105220 A GB 202105220A GB 202105220 D0 GB202105220 D0 GB 202105220D0
- Authority
- GB
- United Kingdom
- Prior art keywords
- consideration
- ego
- occluded objects
- motion
- motion compensation
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Withdrawn
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/56—Context or environment of the image exterior to a vehicle by using sensors mounted on the vehicle
- G06V20/58—Recognition of moving objects or obstacles, e.g. vehicles or pedestrians; Recognition of traffic objects, e.g. traffic signs, traffic lights or roads
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W30/00—Purposes of road vehicle drive control systems not related to the control of a particular sub-unit, e.g. of systems using conjoint control of vehicle sub-units
- B60W30/08—Active safety systems predicting or avoiding probable or impending collision or attempting to minimise its consequences
- B60W30/095—Predicting travel path or likelihood of collision
-
- 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 groups G01C1/00 - G01C19/00
- G01C21/26—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
- G01C21/28—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network with correlation of data from several navigational instruments
- G01C21/30—Map- or contour-matching
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
- G06F18/241—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
- G06F18/2413—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on distances to training or reference patterns
- G06F18/24133—Distances to prototypes
- G06F18/24137—Distances to cluster centroïds
- G06F18/2414—Smoothing the distance, e.g. radial basis function networks [RBFN]
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/045—Combinations of networks
- G06N3/0455—Auto-encoder networks; Encoder-decoder networks
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/0464—Convolutional networks [CNN, ConvNet]
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
- G06N3/0895—Weakly supervised learning, e.g. semi-supervised or self-supervised learning
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
- G06V10/82—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V30/00—Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
- G06V30/10—Character recognition
- G06V30/19—Recognition using electronic means
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W60/00—Drive control systems specially adapted for autonomous road vehicles
- B60W60/001—Planning or execution of driving tasks
- B60W60/0027—Planning or execution of driving tasks using trajectory prediction for other traffic participants
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/044—Recurrent networks, e.g. Hopfield networks
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Remote Sensing (AREA)
- Radar, Positioning & Navigation (AREA)
- Evolutionary Computation (AREA)
- Data Mining & Analysis (AREA)
- Artificial Intelligence (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Software Systems (AREA)
- General Engineering & Computer Science (AREA)
- Computing Systems (AREA)
- Biomedical Technology (AREA)
- Mathematical Physics (AREA)
- Computational Linguistics (AREA)
- Biophysics (AREA)
- Molecular Biology (AREA)
- Multimedia (AREA)
- Automation & Control Theory (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Bioinformatics & Computational Biology (AREA)
- Evolutionary Biology (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Transportation (AREA)
- Mechanical Engineering (AREA)
- Databases & Information Systems (AREA)
- Medical Informatics (AREA)
- Traffic Control Systems (AREA)
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
GB2105220.4A GB2606339A (en) | 2021-04-13 | 2021-04-13 | Motion prediction with ego motion compensation and consideration of occluded objects |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
GB2105220.4A GB2606339A (en) | 2021-04-13 | 2021-04-13 | Motion prediction with ego motion compensation and consideration of occluded objects |
Publications (2)
Publication Number | Publication Date |
---|---|
GB202105220D0 true GB202105220D0 (en) | 2021-05-26 |
GB2606339A GB2606339A (en) | 2022-11-09 |
Family
ID=75949414
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
GB2105220.4A Withdrawn GB2606339A (en) | 2021-04-13 | 2021-04-13 | Motion prediction with ego motion compensation and consideration of occluded objects |
Country Status (1)
Country | Link |
---|---|
GB (1) | GB2606339A (en) |
Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20190025841A1 (en) | 2017-07-21 | 2019-01-24 | Uber Technologies, Inc. | Machine Learning for Predicting Locations of Objects Perceived by Autonomous Vehicles |
US20190049970A1 (en) | 2017-08-08 | 2019-02-14 | Uber Technologies, Inc. | Object Motion Prediction and Autonomous Vehicle Control |
Family Cites Families (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US11100646B2 (en) * | 2019-09-06 | 2021-08-24 | Google Llc | Future semantic segmentation prediction using 3D structure |
-
2021
- 2021-04-13 GB GB2105220.4A patent/GB2606339A/en not_active Withdrawn
Patent Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20190025841A1 (en) | 2017-07-21 | 2019-01-24 | Uber Technologies, Inc. | Machine Learning for Predicting Locations of Objects Perceived by Autonomous Vehicles |
US20190049970A1 (en) | 2017-08-08 | 2019-02-14 | Uber Technologies, Inc. | Object Motion Prediction and Autonomous Vehicle Control |
Also Published As
Publication number | Publication date |
---|---|
GB2606339A (en) | 2022-11-09 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
SG11202103959QA (en) | Simplification of history-based motion vector prediction | |
EP3766248A4 (en) | History-based affine merge and motion vector prediction | |
EP3414905A4 (en) | Method and apparatus of video coding with affine motion compensation | |
GB2615192B (en) | Conditional motion predictions | |
IL284179A (en) | Symmetric motion vector difference coding | |
ZA202102351B (en) | Temporal prediction of adaptive loop filter parameters with reduced memory consumption for video coding | |
GB202401087D0 (en) | Rail buckle dettection and rick prediction | |
GB202002838D0 (en) | Systems and methods of rendering & pre-encoded load estimation based encoder hinting | |
SG11202112037UA (en) | Reducing motion field storage for prediction of video data using non-rectangular prediction modes | |
IL262116A (en) | Remote prediction of human neuropsychological state | |
GB202003778D0 (en) | Use of lactoferrin | |
EP3802963A4 (en) | Compression and tension reinforced wall | |
EP3639520A4 (en) | Selection and Signaling of Motion Vector (MV) Precisions | |
GB202317021D0 (en) | Enhanced motion vector prediction | |
EP3577781A4 (en) | Adaptive explicit csi feedback and overhead reduction | |
GB201910893D0 (en) | Quantization of spatial audio direction parameters | |
GB2598003B (en) | Controlling rendering of images | |
GB202105220D0 (en) | Motion prediction with ego motion compensation and consideration of occluded objects | |
SG11202108103WA (en) | Inter prediction in geometric partitioning with an adaptive number of regions | |
SG11202111762WA (en) | Efficient coding of global motion vectors | |
CA200172S (en) | Part of luggage | |
PL3399127T3 (en) | Furniture fitting for a sliding motion of a multipart door and furniture with such a fitting for furniture | |
EP4193594A4 (en) | Constraint of intra mode for geometric partition mode with inter and intra prediction | |
EP3888359A4 (en) | Adaptive block update of unavailable reference frames using explicit and implicit signaling | |
SG10201910377TA (en) | Pixel arrangement and reflector structure of led display and method of forming same |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
WAP | Application withdrawn, taken to be withdrawn or refused ** after publication under section 16(1) |