Human-machine cooperative trajectory planning and tracking for safe automated driving
This paper investigates a human-machine cooperative trajectory planning and tracking
control approach for automated vehicles. The proposed method is developed based on a …
control approach for automated vehicles. The proposed method is developed based on a …
Humanlike decision and motion planning for expressway lane changing based on artificial potential field
P Wu, F Gao, K Li - IEEE Access, 2022 - ieeexplore.ieee.org
The autonomous vehicles (AVs) need to share the driving environment with the human
driving vehicles (HDVs) on expressway in the future. The non-humanlike lane changing (LC) …
driving vehicles (HDVs) on expressway in the future. The non-humanlike lane changing (LC) …
[PDF][PDF] Review on human-machine shared control of intelligent vehicles
A shared control of intelligent vehicles consists of a human driver and an automation to
complete the driving task. Through human-machine intelligence hybrid enhancement …
complete the driving task. Through human-machine intelligence hybrid enhancement …
A combined object detection method with application to pedestrian detection
F Gao, C Wang, C Li - IEEE Access, 2020 - ieeexplore.ieee.org
Object detection plays an important role in automatic driving systems. Considering the
characteristics of classical and deep learning algorithms, a fusion logic is proposed to …
characteristics of classical and deep learning algorithms, a fusion logic is proposed to …
Will I start an automated driving system? Report on the emotions, cognition, and intention of drivers who experienced real-world conditional automated driving
Z Yu, K Jiang, Z Huang, P Zhang, Z Feng - Cognition, Technology & Work, 2022 - Springer
The automotive market today has seen the entry of Level-3 conditional automated driving
vehicles equipped with an automated driving system that waits for the drivers to start it on the …
vehicles equipped with an automated driving system that waits for the drivers to start it on the …
A new density-based clustering method considering spatial distribution of lidar point cloud for object detection of autonomous driving
C Li, F Gao, X Han, B Zhang - Electronics, 2021 - mdpi.com
Lidar is a key sensor of autonomous driving systems, but the spatial distribution of its point
cloud is uneven because of its scanning mechanism, which greatly degrades the clustering …
cloud is uneven because of its scanning mechanism, which greatly degrades the clustering …
Performance limit evaluation by evolution test with application to automatic parking system
F Gao, Z Han, J Zhou, Y Yang - IEEE Transactions on Intelligent …, 2021 - ieeexplore.ieee.org
The efficient detection of the performance limit is critical to automatic driving systems. With
the motivation that automatic driving is more difficult to be realized under more complicated …
the motivation that automatic driving is more difficult to be realized under more complicated …
[HTML][HTML] Real-time comprehensive driving ability evaluation algorithm for intelligent assisted driving
F Liu, F Xue, W Wang, W Su, Y Liu - Green Energy and Intelligent …, 2023 - Elsevier
To meet the needs of the human-machine co-driving decision problem in the intelligent
assisted driving system for real-time comprehensive driving ability evaluation of drivers, this …
assisted driving system for real-time comprehensive driving ability evaluation of drivers, this …
[HTML][HTML] An efficient encrypted deduplication scheme with security-enhanced proof of ownership in edge computing
With the rapid expansion of Internet of Things (IoT), relevant files are stored and transmitted
at the network edge by employing data deduplication to eliminate redundant data for the …
at the network edge by employing data deduplication to eliminate redundant data for the …