Dongchan Kim

Orcid: 0000-0002-8251-7104

Affiliations:
  • Hanyang University, ERICA Campus, Department of Artificial Intelligence, Ansan, South Korea
  • Hanyang University, Department of Automotive Engineering, Seoul, South Korea (PhD 2022)


According to our database1, Dongchan Kim authored at least 14 papers between 2017 and 2022.

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

Timeline

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Bibliography

2022
A Hierarchical Motion Planning Framework for Autonomous Driving in Structured Highway Environments.
IEEE Access, 2022

2021
Neural Motion Planning for Autonomous Parking.
CoRR, 2021

Driving Style-Based Conditional Variational Autoencoder for Prediction of Ego Vehicle Trajectory.
IEEE Access, 2021

An Integrated Deep Ensemble-Unscented Kalman Filter for Sideslip Angle Estimation With Sensor Filtering Network.
IEEE Access, 2021

Hybrid Approach for Vehicle Trajectory Prediction Using Weighted Integration of Multiple Models.
IEEE Access, 2021

DSA-GAN: Driving Style Attention Generative Adversarial Network for Vehicle Trajectory Prediction.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

2020
Interaction Aware Trajectory Prediction of Surrounding Vehicles with Interaction Network and Deep Ensemble.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2020

Multi-Head Attention based Probabilistic Vehicle Trajectory Prediction.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2020

2019
RNN-Based Path Prediction of Obstacle Vehicles With Deep Ensemble.
IEEE Trans. Veh. Technol., 2019

Autonomous Vehicle Trajectory Planning and Control Based on Traffic Motion Prediction.
Proceedings of the 2019 International Symposium on Intelligent Signal Processing and Communication Systems, 2019

Action Conditioned Response Prediction with Uncertainty for Automated Vehicles.
Proceedings of the 2019 International Symposium on Intelligent Signal Processing and Communication Systems, 2019

2018
Trajectory Planning for Autonomous Highway Driving Using the Adaptive Potential Field.
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

2017
Intervention minimized semi-autonomous control using decoupled model predictive control.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2017

Local trajectory planning and control for autonomous vehicles using the adaptive potential field.
Proceedings of the IEEE Conference on Control Technology and Applications, 2017


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