Instance segmentation for roadside objects using a simulation environment
In the autonomous driving system, the understanding of traffic is always an important task. Especially in the field of the detection and recognition for roadside objects, it can help to guide vehicles, prevent them from deviating, and assist them in positioning and localization. To achieve the goal,...
Main Author: | Wang, Sijie |
---|---|
Other Authors: | Tay, Wee Peng |
Format: | Thesis-Master by Coursework |
Language: | English |
Published: |
Nanyang Technological University
2021
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/149566 |
Similar Items
-
Instance LSeg - exploring instance level information from visual language model
by: Lin, Zixing
Published: (2023) -
Reformulating active contours for object segmentation
by: Wang, Junyan
Published: (2012) -
Detection of human-object interaction in the meeting room
by: Wang, Taige
Published: (2020) -
Co-saliency based visual object co-segmentation and co-localization
by: Jerripothula, Koteswar Rao
Published: (2017) -
RGBD indoor semantic segmentation with segmentation transformer
by: Choong, Han Yi
Published: (2022)