Towards Semantic SLAM: 3D Position and Velocity Estimation by Fusing Image Semantic Information with Camera Motion Parameters for Traffic Scene Analysis
In this paper, an EKF (Extended Kalman Filter)-based algorithm is proposed to estimate 3D position and velocity components of different cars in a scene by fusing the semantic information and car model, extracted from successive frames with camera motion parameters. First, a 2D virtual image of the s...
Main Authors: | Mostafa Mansour, Pavel Davidson, Oleg Stepanov, Robert Piché |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-01-01
|
Series: | Remote Sensing |
Subjects: | |
Online Access: | https://www.mdpi.com/2072-4292/13/3/388 |
Similar Items
-
Dynamic Scene Semantics SLAM Based on Semantic Segmentation
by: Shuangquan Han, et al.
Published: (2020-01-01) -
On the utilization of Simultaneous Localization and Mapping(SLAM) along with vehicle dynamics in Mobile Road Mapping Systems
by: Pereira, Savio Joseph
Published: (2019) -
Visual EKF-SLAM from Heterogeneous Landmarks
by: Jorge Othón Esparza-Jiménez, et al.
Published: (2016-04-01) -
Validation of Underwater Sensor Package Using Feature Based SLAM
by: Christopher Cain, et al.
Published: (2016-03-01) -
A Clutter-Resistant SLAM Algorithm for Autonomous Guided Vehicles in Dynamic Industrial Environment
by: Wei Wang, et al.
Published: (2020-01-01)