Junlan Chen

Orcid: 0000-0002-3531-1082

According to our database1, Junlan Chen authored at least 15 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
A Generative Deep Learning Approach for Crash Severity Modeling with Imbalanced Data.
CoRR, 2024

2023
PVF-DectNet: Multi-modal 3D detection network based on Perspective-Voxel fusion.
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

Salient Bundle Adjustment for Visual SLAM.
CoRR, 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

Estimating Travel Times of Mid-Volume Buses Considering Right-of-Way Variation.
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


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