Fang-Chieh Chou
According to our database1,
Fang-Chieh Chou
authored at least 21 papers
between 2014 and 2024.
Collaborative distances:
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Bibliography
2024
Traffic Control via Connected and Automated Vehicles: An Open-Road Field Experiment with 100 CAVs.
CoRR, 2024
2023
Longitudinal deep truck: Deep longitudinal model with application to sim2real deep reinforcement learning for heavy-duty truck control in the field.
J. Field Robotics, March, 2023
2022
The Lord of the Ring Road: A Review and Evaluation of Autonomous Control Policies for Traffic in a Ring Road.
ACM Trans. Cyber Phys. Syst., 2022
Multi-View Fusion of Sensor Data for Improved Perception and Prediction in Autonomous Driving.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022
2021
Integrated Framework of Vehicle Dynamics, Instabilities, Energy Models, and Sparse Flow Smoothing Controllers.
CoRR, 2021
Investigating the Effect of Sensor Modalities in Multi-Sensor Detection-Prediction Models.
CoRR, 2021
Proceedings of the IEEE Intelligent Vehicles Symposium, 2021
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021
Proceedings of the IEEE International Conference on Robotics and Automation, 2021
2020
Uncertainty-Aware Vehicle Orientation Estimation for Joint Detection-Prediction Models.
CoRR, 2020
Improving Movement Predictions of Traffic Actors in Bird's-Eye View Models using GANs and Differentiable Trajectory Rasterization.
CoRR, 2020
Uncertainty-aware Short-term Motion Prediction of Traffic Actors for Autonomous Driving.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020
Predicting Motion of Vulnerable Road Users using High-Definition Maps and Efficient ConvNets.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2020
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020
2019
CoRR, 2019
Deep Truck : A deep neural network model for longitudinal dynamics of heavy duty trucks.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019
Multimodal Trajectory Predictions for Autonomous Driving using Deep Convolutional Networks.
Proceedings of the International Conference on Robotics and Automation, 2019
Proceedings of the 2019 American Control Conference, 2019
2018
Motion Prediction of Traffic Actors for Autonomous Driving using Deep Convolutional Networks.
CoRR, 2018
2016
Proceedings of the 2016 IEEE Vehicular Networking Conference, 2016
2014
PLoS Comput. Biol., 2014