The Robust Semantic SLAM System for Texture-Less Underground Parking Lot
Automatic valet parking (AVP) is the autonomous driving function that may take the lead in mass production. AVP is usually needed in an underground parking lot, where the light is dim, the parking space is narrow, and the GPS signal is denied. The traditional visual-based simultaneous location and m...
Saved in:
Main Authors: | Chongjun Liu, Jianjun Yao |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2022-01-01
|
Series: | Journal of Advanced Transportation |
Online Access: | http://dx.doi.org/10.1155/2022/9681455 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Optimal allocation of intelligent parking lots in distribution system: A robust two‐stage optimization model
by: Motahareh Mojarad, et al.
Published: (2022-06-01) -
Semantic-Assisted LIDAR Tightly Coupled SLAM for Dynamic Environments
by: Peng Liu, et al.
Published: (2024-01-01) -
VISION AND STRATEGY REGARDING THE PARKING LOTS WITH ELEVATORS
by: Carmen Elisabeta RADU, et al.
Published: (2022-05-01) -
Quantitative analysis of different SLAM algorithms for geo-monitoring in an underground test field
by: Jing Li, et al.
Published: (2025-02-01) -
Thermal Behavior of an Asphalt Pavement in the Laboratory and in the Parking Lot
by: J. B. Martinkauppi, et al.
Published: (2015-01-01)