Ruikang Luo

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 21

Top Topics

Spatial Temporal

Electric Vehicle Charging

Gaussian Distribution

Top Venues

Publications

Yaofeng Song, Ruikang Luo, Tianchen Zhou, Changgen Zhou, Rong Su
Graph Attention Informer for Long-Term Traffic Flow Prediction under the Impact of Sports Events. Sensors 24 (15) (2024)
Nanbin Zhao, Bohui Wang, Kun Zhang, Yun Lu, Ruikang Luo, Rong Su
LC-RSS: A Lane-Change Responsibility-Sensitive Safety Framework Based on Data-Driven Lane-Change Prediction. IEEE Trans. Intell. Veh. 9 (1) (2024)
Ruikang Luo, François Rivest, Farhana H. Zulkernine
I3D Light - A Simple Motion Information Stream for I3D. Canadian AI (2023)
Ruikang Luo, Yaofeng Song, Liping Huang, Yicheng Zhang, Rong Su
AST-GIN: Attribute-Augmented Spatiotemporal Graph Informer Network for Electric Vehicle Charging Station Availability Forecasting. Sensors 23 (4) (2023)
Liping Huang, Zhenghuan Li, Ruikang Luo, Rong Su
Missing Traffic Data Imputation with a Linear Generative Model Based on Probabilistic Principal Component Analysis. Sensors 23 (1) (2023)
Ruikang Luo, Yaofeng Song, Liping Huang, Yicheng Zhang, Rong Su
AST-GIN: Attribute-Augmented Spatial-Temporal Graph Informer Network for Electric Vehicle Charging Station Availability Forecasting. CoRR (2022)
Liping Huang, Zhenghuan Li, Sida Zhao, Ruikang Luo, Rong Su, Yongliang Guan
Coupling Urban Road Travel Time and Traffic Status from Vehicle Trajectories by Gaussian Distribution. ITSC (2022)
Ruikang Luo, Yaofeng Song, Han Zhao, Yicheng Zhang, Yi Zhang, Nanbin Zhao, Liping Huang, Rong Su
Dense-TNT: Efficient Vehicle Type Classification Neural Network Using Satellite Imagery. CoRR (2022)
Liping Huang, Sida Zhao, Ruikang Luo, Rong Su, Mohit Sindhwani, Siew Kiat Chan, George Rosario Dhinesh
An Incremental Map Matching Approach with Speed Estimation Constraints for High Sampling Rate Vehicle Trajectories. ICCA (2022)
Han Zhao, Ruikang Luo, Bowen Yao, Yiyi Wang, Shaoqing Hu, Rong Su
GraphSAGE-Based Generative Adversarial Network for Short-Term Traffic Speed Prediction Problem. ICARCV (2022)
Yuzhen Li, Jiawen Tang, Han Zhao, Ruikang Luo
Reinforcement Learning Method with Dynamic Learning Rate for Real-Time Route Guidance Based on SUMO. ICARCV (2022)
Yi Zhang, Sheng Zhang, Ruikang Luo
Lane Change Intent Prediction Based on Multi-Channel CNN Considering Vehicle Time-Series Trajectory. ITSC (2022)
Yaofeng Song, Han Zhao, Ruikang Luo, Liping Huang, Yicheng Zhang, Rong Su
A SUMO Framework for Deep Reinforcement Learning Experiments Solving Electric Vehicle Charging Dispatching Problem. CoRR (2022)
Nanbin Zhao, Bohui Wang, Ruikang Luo, Yun Lu, Jialu Zhang, Rong Su
A Scenario Encoding Model for Long-Term Lane-Change Prediction Using Self-Organizing Map. ICARCV (2022)
Ruikang Luo, Yaofeng Song, Liping Huang, Yicheng Zhang, Rong Su
STGIN: A Spatial Temporal Graph-Informer Network for Long Sequence Traffic Speed Forecasting. CoRR (2022)
Haofeng Zheng, Ruikang Luo, Yaofeng Song, Yao Zhou, Jiawen Yu
Traffic Sign Recognition Using Ulam's Game. ICARCV (2022)
Juntian Chen, Ruikang Luo
MetaCNN: A New Hybrid Deep Learning Image-based Approach for Vehicle Classification Using Transformer-like Framework. CSSE (2022)
Isaac Hogan, Donghao Qiao, Ruikang Luo, Mojtaba Moattari, Austin Carthy, Farhana H. Zulkernine, François Rivest, Mélanie Breton
FireWarn: Fire Hazards Detection Using Deep Learning Models. CogMI (2021)
Ruikang Luo, Yicheng Zhang, Yao Zhou, Hailin Chen, Le Yang, Jianfei Yang, Rong Su
Deep Learning Approach for Long- Term Prediction of Electric Vehicle (EV) Charging Station Availability. ITSC (2021)
Ruikang Luo, Rong Su
Traffic Signal Transition Time Prediction Based on Aerial Captures during Peak Hours. ICARCV (2020)
Jianfei Yang, Hailin Chen, Yuecong Xu, Ziji Shi, Ruikang Luo, Lihua Xie, Rong Su
Domain Adaptation for Degraded Remote Scene Classification. ICARCV (2020)