To address common issues in intelligent driving, such as small object missed detection, false detection, and edge segmentation errors, this paper optimizes the YOLOP (You Only Look Once for Panoptic Driving Perception) network and proposes a multi-task perception algorithm based on a MKHA (Multi-Kernel Hybrid Attention) mechanism, named MKHA-YOLOP.

DOI Link: 
10.21227/km1s-sn86
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[1] Ma Zhanwu, "Autonomous Driving", IEEE Dataport, 2025. [Online]. Available: http://dx.doi.org/10.21227/km1s-sn86. Accessed: Feb. 18, 2025.
@data{km1s-sn86-25,
doi = {10.21227/km1s-sn86},
url = {http://dx.doi.org/10.21227/km1s-sn86},
author = {Ma Zhanwu },
publisher = {IEEE Dataport},
title = {Autonomous Driving},
year = {2025} }
TY - DATA
T1 - Autonomous Driving
AU - Ma Zhanwu
PY - 2025
PB - IEEE Dataport
UR - 10.21227/km1s-sn86
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Ma Zhanwu. (2025). Autonomous Driving. IEEE Dataport. http://dx.doi.org/10.21227/km1s-sn86
Ma Zhanwu, 2025. Autonomous Driving. Available at: http://dx.doi.org/10.21227/km1s-sn86.
Ma Zhanwu. (2025). "Autonomous Driving." Web.
1. Ma Zhanwu. Autonomous Driving [Internet]. IEEE Dataport; 2025. Available from : http://dx.doi.org/10.21227/km1s-sn86
Ma Zhanwu. "Autonomous Driving." doi: 10.21227/km1s-sn86