Junlan Chen
Orcid: 0000-0002-3531-1082
According to our database1,
Junlan Chen
authored at least 17 papers
between 2019 and 2024.
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Bibliography
2024
How spatial features affect urban rail transit prediction accuracy: a deep learning based passenger flow prediction method.
J. Intell. Transp. Syst., November, 2024
Kaninfradet3D:A Road-side Camera-LiDAR Fusion 3D Perception Model based on Nonlinear Feature Extraction and Intrinsic Correlation.
CoRR, 2024
A Generative Deep Learning Approach for Crash Severity Modeling with Imbalanced Data.
CoRR, 2024
2023
Eng. Appl. Artif. Intell., April, 2023
Quantification of Uncertainty and Its Applications to Complex Domain for Autonomous Vehicles Perception System.
IEEE Trans. Instrum. Meas., 2023
2022
Approaches, Challenges, and Applications for Deep Visual Odometry: Toward Complicated and Emerging Areas.
IEEE Trans. Cogn. Dev. Syst., 2022
Cross-domain learning using optimized pseudo labels: toward adaptive car detection in different weather conditions and urban cities.
Neural Comput. Appl., 2022
2021
Is the cut-in behavior in china dangerous? Research and analysis based on Chinese driving behavior characteristics in highway.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021
2020
Route Configuration Method for Highway Passenger Hubs from the Perspective of Transportation Integration: A Case Study of Nanjing, China.
Symmetry, 2020
Approaches, Challenges, and Applications for Deep Visual Odometry: Toward to Complicated and Emerging Areas.
CoRR, 2020
A feature-supervised generative adversarial network for environmental monitoring during hazy days.
CoRR, 2020
The Adaptability and Challenges of Autonomous Vehicles to Pedestrians in Urban China.
CoRR, 2020
IEEE Access, 2020
2019
Forward and Backward Visual Fusion Approach to Motion Estimation with High Robustness and Low Cost.
Remote. Sens., 2019
A Design of Cooperative Overtaking Based on Complex Lane Detection and Collision Risk Estimation.
IEEE Access, 2019
A Model Evaluating Complexity of Driving Environment toward Autonomous Vehicles Using Neural Network.
Proceedings of the 12th International Symposium on Computational Intelligence and Design, 2019