VISUAL ODOMETRY FOR LANE-CHANGE DETECTION IN VEHICLE LOCALIZATION
This project describes the visual odometry for lane-changing detection in-vehicle localization. The main objective of this research is to analyze and detect whether a vehicle changes lanes on the road based on the visual odometry trajectory in the KITTI dataset. Nowadays, the Global Positionin...
محفوظ في:
| المؤلف الرئيسي: | |
|---|---|
| التنسيق: | Final Year Project Report |
| اللغة: | English |
| منشور في: |
Universiti Malaysia Sarawak
|
| الموضوعات: | |
| الوصول للمادة أونلاين: | http://ir.unimas.my/id/eprint/39464/3/Nurliza%20Binti%20Mahli.pdf http://ir.unimas.my/id/eprint/39464/ |
| الوسوم: |
إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|
| id |
my.unimas.ir.39464 |
|---|---|
| record_format |
eprints |
| spelling |
my.unimas.ir.394642024-01-25T08:18:24Z http://ir.unimas.my/id/eprint/39464/ VISUAL ODOMETRY FOR LANE-CHANGE DETECTION IN VEHICLE LOCALIZATION NURLIZA BINTI MAHLI, - TK Electrical engineering. Electronics Nuclear engineering This project describes the visual odometry for lane-changing detection in-vehicle localization. The main objective of this research is to analyze and detect whether a vehicle changes lanes on the road based on the visual odometry trajectory in the KITTI dataset. Nowadays, the Global Positioning System (GPS) applications are easy to use and most used in vehicle localization. In the GPS application, there is no stating that drivers change lanes on the roads. This affects the smooth transition and path planning for those using the in-vehicle navigation system. Therefore, this research analyses and determines whether vehicles have made lane changes based on the visual odometry even if a minor change occurs. This analysis has several methods to detect lane change. The visual odometry method used was the ORB SLAM, then from the visual odometry trajectory, the method of curve fitting is used to analyze any change or discrepancy in the trajectory path. The lane changes can be detected by using graph results. The evidence of the graph result shows that the lane changes occurred. The results with different methods can detect a small change in straight or curved road lanes. The main advantage of this study is that it can detect the occurrence of lane changes on a straight road or a curve lane even if there is only a small change. Universiti Malaysia Sarawak Final Year Project Report NonPeerReviewed text en http://ir.unimas.my/id/eprint/39464/3/Nurliza%20Binti%20Mahli.pdf NURLIZA BINTI MAHLI, - VISUAL ODOMETRY FOR LANE-CHANGE DETECTION IN VEHICLE LOCALIZATION. [Final Year Project Report] (Unpublished) |
| institution |
Universiti Malaysia Sarawak |
| building |
Centre for Academic Information Services (CAIS) |
| collection |
Institutional Repository |
| continent |
Asia |
| country |
Malaysia |
| content_provider |
Universiti Malaysia Sarawak |
| content_source |
UNIMAS Institutional Repository |
| url_provider |
http://ir.unimas.my/ |
| language |
English |
| topic |
TK Electrical engineering. Electronics Nuclear engineering |
| spellingShingle |
TK Electrical engineering. Electronics Nuclear engineering NURLIZA BINTI MAHLI, - VISUAL ODOMETRY FOR LANE-CHANGE DETECTION IN VEHICLE LOCALIZATION |
| description |
This project describes the visual odometry for lane-changing detection in-vehicle
localization. The main objective of this research is to analyze and detect whether a vehicle
changes lanes on the road based on the visual odometry trajectory in the KITTI dataset.
Nowadays, the Global Positioning System (GPS) applications are easy to use and most
used in vehicle localization. In the GPS application, there is no stating that drivers change
lanes on the roads. This affects the smooth transition and path planning for those using
the in-vehicle navigation system. Therefore, this research analyses and determines
whether vehicles have made lane changes based on the visual odometry even if a minor
change occurs. This analysis has several methods to detect lane change. The visual
odometry method used was the ORB SLAM, then from the visual odometry trajectory,
the method of curve fitting is used to analyze any change or discrepancy in the trajectory
path. The lane changes can be detected by using graph results. The evidence of the graph
result shows that the lane changes occurred. The results with different methods can detect
a small change in straight or curved road lanes. The main advantage of this study is that
it can detect the occurrence of lane changes on a straight road or a curve lane even if there
is only a small change. |
| format |
Final Year Project Report |
| author |
NURLIZA BINTI MAHLI, - |
| author_facet |
NURLIZA BINTI MAHLI, - |
| author_sort |
NURLIZA BINTI MAHLI, - |
| title |
VISUAL ODOMETRY FOR LANE-CHANGE DETECTION IN
VEHICLE LOCALIZATION |
| title_short |
VISUAL ODOMETRY FOR LANE-CHANGE DETECTION IN
VEHICLE LOCALIZATION |
| title_full |
VISUAL ODOMETRY FOR LANE-CHANGE DETECTION IN
VEHICLE LOCALIZATION |
| title_fullStr |
VISUAL ODOMETRY FOR LANE-CHANGE DETECTION IN
VEHICLE LOCALIZATION |
| title_full_unstemmed |
VISUAL ODOMETRY FOR LANE-CHANGE DETECTION IN
VEHICLE LOCALIZATION |
| title_sort |
visual odometry for lane-change detection in
vehicle localization |
| publisher |
Universiti Malaysia Sarawak |
| url |
http://ir.unimas.my/id/eprint/39464/3/Nurliza%20Binti%20Mahli.pdf http://ir.unimas.my/id/eprint/39464/ |
| _version_ |
1789430338509864960 |
| score |
13.250246 |