Jun Wang
Orcid: 0000-0002-7684-0191Affiliations:
- Tongji University, Department of Control Science and Engineering, Shanghai, China
According to our database1,
Jun Wang
authored at least 35 papers
between 2009 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
2010
2012
2014
2016
2018
2020
2022
2024
0
1
2
3
4
5
6
1
1
1
2
2
1
1
1
3
1
1
2
3
2
3
4
1
1
1
2
1
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on scopus.com
-
on orcid.org
On csauthors.net:
Bibliography
2024
Efficient Uncertainty-Aware Collision Avoidance for Autonomous Driving Using Convolutions.
IEEE Trans. Intell. Transp. Syst., October, 2024
2023
Joint estimation of position and attitude for intelligent vehicles by fusing delayed visual measurements.
J. Frankl. Inst., June, 2023
Proceedings of the IEEE Intelligent Vehicles Symposium, 2023
An Online Learning Based Extended Kalman Filtering Approach for Intelligent Vehicles Localization During Short-term GNSS Outages.
Proceedings of the American Control Conference, 2023
An LSTM-based Game Theory Method for Multi-Agent DecisionMaking in Highway Scenarios.
Proceedings of the American Control Conference, 2023
2022
A convolution-based grid map reconfiguration method for autonomous driving in highly constrained environments.
Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022
2021
IEEE Trans. Intell. Veh., 2021
A hierarchical planning framework of the intersection with blind zone and uncertainty.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021
2020
Proceedings of the 2020 IEEE Conference on Control Technology and Applications, 2020
Proceedings of the 2020 IEEE Conference on Control Technology and Applications, 2020
2019
IEEE Trans. Intell. Transp. Syst., 2019
A neural-network enhanced modeling method for real-time evaluation of the temperature distribution in a data center.
Neural Comput. Appl., 2019
2018
IEEE Trans. Intell. Veh., 2018
Road-Segmentation-Based Curb Detection Method for Self-Driving via a 3D-LiDAR Sensor.
IEEE Trans. Intell. Transp. Syst., 2018
Proceedings of the 2018 IEEE Intelligent Vehicles Symposium, 2018
Proceedings of the 2018 Annual American Control Conference, 2018
Online Identification of Mutual Inductance of Induction Motor without Magnetizing Curve.
Proceedings of the 2018 Annual American Control Conference, 2018
2017
IEEE Trans. Ind. Informatics, 2017
Proceedings of the IEEE Intelligent Vehicles Symposium, 2017
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017
2016
IEEE Trans Autom. Sci. Eng., 2016
Proceedings of the 55th IEEE Conference on Decision and Control, 2016
Estimation of battery state-of-charge for electric vehicles using an MCMC-based auxiliary particle filter.
Proceedings of the 2016 American Control Conference, 2016
Proceedings of the 2016 IEEE Conference on Control Applications, 2016
2015
3D LIDAR-Based Intersection Recognition and Road Boundary Detection Method for Unmanned Ground Vehicle.
Proceedings of the IEEE 18th International Conference on Intelligent Transportation Systems, 2015
Thermal-aware load provisioning for server clusters by using model predictive control.
Proceedings of the 2015 IEEE Conference on Control Applications, 2015
Proceedings of the 2015 IEEE Conference on Control Applications, 2015
Proceedings of the 2015 IEEE Conference on Control Applications, 2015
2014
Proceedings of the American Control Conference, 2014
2013
H<sub>∞</sub> Formation Control and Obstacle Avoidance for Hybrid Multi-Agent Systems.
J. Appl. Math., 2013
2012
Proceedings of the 12th International Conference on Control Automation Robotics & Vision, 2012
2011
Proceedings of the Advances in Swarm Intelligence - Second International Conference, 2011
2010
Proceedings of the Advances in Swarm Intelligence, First International Conference, 2010
Particle swarm optimization based on Gaussian mutation and its application to wind farm micro-siting.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010
2009
Optimal micro-siting of wind turbines by genetic algorithms based on improved wind and turbine models.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009