Ke Wang
Orcid: 0000-0002-0797-4655Affiliations:
- Chongqing University, State Key Laboratory of Mechanical Transmission, China
According to our database1,
Ke Wang
authored at least 20 papers
between 2019 and 2024.
Collaborative distances:
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Bibliography
2024
Cross-Domain Adaptive Object Detection Based on Refined Knowledge Transfer and Mined Guidance in Autonomous Vehicles.
IEEE Trans. Intell. Veh., January, 2024
2023
Eng. Appl. Artif. Intell., April, 2023
Performance and Challenges of 3D Object Detection Methods in Complex Scenes for Autonomous Driving.
IEEE Trans. Intell. Veh., February, 2023
Gated Adversarial Network Based Environmental Enhancement Method for Driving Safety Under Adverse Weather Conditions.
IEEE Trans. Intell. Veh., February, 2023
Quantification of Uncertainty and Its Applications to Complex Domain for Autonomous Vehicles Perception System.
IEEE Trans. Instrum. Meas., 2023
2022
IEEE Trans. Instrum. Meas., 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
Simultaneous detection and tracking using deep learning and integrated channel feature for ambint traffic light recognition.
J. Ambient Intell. Humaniz. Comput., 2022
Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 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
Multi-source data fusion method based on nearest neighbor plot and track data association.
Proceedings of the 2021 IEEE Sensors, Sydney, Australia, October 31 - Nov. 3, 2021, 2021
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
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