Synergistic integration of refined pelican optimization algorithm and deep neural networks for autonomous vehicle control in edge computing architectures
Abstract Autonomous vehicles and mobile edge computing’s confluence have raised an innovative model for immediate decision-making and improved computational abilities. But, enhancing vehicle management systems to guarantee effective enactment remains an important challenge. Present approaches regula...
Saved in:
| Main Authors: | Fude Duan, Bing Han, Xiongzhu Bu |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-06-01
|
| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-98486-y |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Vehicle Detection and Shape Refinement Based on LiDAR
by: YU An, et al.
Published: (2022-12-01) -
Long-Range LiDAR Vehicle Detection Through Clustering and Classification for Autonomous Racing
by: Na-Young Lim, et al.
Published: (2025-01-01) -
A Joint LiDAR and Camera Calibration Algorithm Based on an Original 3D Calibration Plate
by: Ziyang Cui, et al.
Published: (2025-07-01) -
The NavINST Dataset for Multi-Sensor Autonomous Navigation
by: Paulo Ricardo Marques De Araujo, et al.
Published: (2025-01-01) -
Coded Pulse Stream LiDAR Based on Optical Orthogonal Frequency-Division Multiple Access
by: Gunzung Kim, et al.
Published: (2023-01-01)