Fang-Chieh Chou

According to our database1, Fang-Chieh Chou authored at least 21 papers between 2014 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

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

MultiXNet: Multiclass Multistage Multimodal Motion Prediction.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2021

Uncertainty-Aware Estimation of Vehicle Orientation for Self-Driving Applications.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

Reachability Analysis for FollowerStopper: Safety Analysis and Experimental Results.
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

Deep Kinematic Models for Kinematically Feasible Vehicle Trajectory Predictions.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2019
Deep Kinematic Models for Physically Realistic Prediction of Vehicle Trajectories.
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

Backstepping-Based Time-Gap Regulation for Platoons.
Proceedings of the 2019 American Control Conference, 2019

2018
Motion Prediction of Traffic Actors for Autonomous Driving using Deep Convolutional Networks.
CoRR, 2018

2016
Coordinated merge control based on V2V communication.
Proceedings of the 2016 IEEE Vehicular Networking Conference, 2016

2014
Blind Predictions of DNA and RNA Tweezers Experiments with Force and Torque.
PLoS Comput. Biol., 2014


  Loading...