Auto-detection of potholes using photogrammetric and deep learning approach (Softcopy is also available) (Record no. 69735)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 01907nam a2200193Ia 4500 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 110104s9999 xx 000 0 und d |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | MG TH-0228 |
| Item number | DAT |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Datir, Raunak (PG190733) |
| 245 #0 - TITLE STATEMENT | |
| Title | Auto-detection of potholes using photogrammetric and deep learning approach (Softcopy is also available) |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Date of publication, distribution, etc | 2021 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | xiii,52p. |
| 505 ## - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Contents<br/>Certificate of original authorship i<br/>Certificate of Dissertation Advisor’s consent iii<br/>Acknowledgments v<br/>Abstract vii<br/>List of figures ix<br/>List of tables xii<br/>1 Introduction 1<br/>1.1 Aim and Objective 1<br/>1.2 Thesis motivation 1<br/>1.3 Significance of the study 2<br/>1.4 Limitation 2<br/>1.5 Thesis outline 3<br/>2 Literature Review 5<br/>2.1 Road surface Distress 5<br/>2.1.1 Crack 5<br/>2.1.2 Raveling 5<br/>2.1.3 Roughness 6<br/>2.1.4 Rutting 6<br/>2.1.5 Potholes 7<br/>2.2 Road Distress Detection Techniques 7<br/>2.2.1 Public Reporting 8<br/>2.2.2 Vibration based techniques 8<br/>2.2.3 2D and 3D vision based technique 8<br/>2.2.4 Learning based technique 10<br/>2.3 Inferences 12<br/>3 Methodology 13<br/>4 Data Collection and Processing 15<br/>4.1 Camera Module 15<br/>4.2 Testing 17<br/>4.2.1 Testing without Ground Control Points (GCPs) 17<br/>4.2.2 Testing with Ground Control Points (GCPs) 19<br/>4.3 Study area and dataset 23<br/>4.3.1 Open source dataset 25<br/>5 Results and Conclusion 27<br/>5.1 Photogrammetric approach 27<br/>5.1.1 Steps for data processing 27<br/>5.2 Deep learning approach 30<br/>5.2.1 Mask RCNN 31<br/>5.2.2 YOLO (You only look once) 35<br/>5.3 Conclusion 38<br/>5.4 Limitation and Drawbacks 39<br/>5.5 Future Scope 39<br/>References xli<br/>Appendix 1: Various test outputs to improve accuracy of camera module xlv<br/>Appendix 2: Python code xlvii<br/>Plagiarism Report copy li<br/><br/><br/> |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Samal, Dipak (Guide) |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Shahdadpuri, Suresh (Guide) |
| 890 ## - Country | |
| Country | India |
| 891 ## - Topic | |
| Topic | 2019 Batch |
| 891 ## - Topic | |
| Topic | FT-PG |
| 891 ## - Topic | |
| Topic | M.Sc. Geomatics |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Collection code | Withdrawn status | Home library | Current library | Date acquired | Source of acquisition | Full call number | Barcode | Date last seen | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dewey Decimal Classification | Not For Loan | Faculty of Technology | CEPT Library | CEPT Library | 19/05/2022 | Faculty of Technology | MG TH-0228 DAT | 023728 | 19/05/2022 | 19/05/2022 | Thesis |