Scene understand and recognition for unmanned vehicle
This study investigates the challenges and advancements in scene understanding and recognition for unmanned vehicles operating in rainy weather conditions. This is especially true for Last Mile Delivery (LMD) of food delivery robots since there are safety challenges coupled with reduced resoluti...
Saved in:
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Final Year Project |
| Language: | English |
| Published: |
Nanyang Technological University
2024
|
| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/176051 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Institution: | Nanyang Technological University |
| Language: | English |
| Summary: | This study investigates the challenges and advancements in scene understanding and
recognition for unmanned vehicles operating in rainy weather conditions. This is especially true for Last Mile Delivery (LMD) of food delivery robots since there are safety
challenges coupled with reduced resolution and accuracy of sensors from rainy weather. It poses a significant obstacle to visual perception systems, impairing image quality
and hindering accurate scene interpretation. Through a comprehensive review of recent research and developments, this paper explores different techniques and characteristics of different sensors and algorithms to best suit the capabilities of unmanned
vehicles in rainy environments. We will first source for sensor and shelter for the sensor
for data collection during rainy weather. After data collection, we will do data extraction
of the recordings to evaluate the images. The findings presented here contribute to the
ongoing efforts in advancing the reliability and autonomy of unmanned vehicles and robots for application such as transportation, in challenging weather conditions. |
|---|