Yuxiang Sun

Research output

Research output per year 2014 2019 2020 2021 2022 2022

• 39 Journal article
• 21 Conference article published in proceeding or book
• 1 Editorial

Research output per year

Research output per year

Search results

• 2022

  Computing Thermal Point Clouds by Fusing RGB-D and Infrared Images: From Dense Object Reconstruction to Environment Mapping

  Zhang, T., Hu, L., Sun, Y., Li, L. & Navarro-Alarcon, D., 2022, 2022 IEEE International Conference on Robotics and Biomimetics, ROBIO 2022. Institute of Electrical and Electronics Engineers Inc., p. 1707-1714 8 p. (2022 IEEE International Conference on Robotics and Biomimetics, ROBIO 2022).

  Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

  • Point Cloud 100%
  • Algorithms 50%
  • Experimental Result 50%
  • 3d Reconstruction 50%
  • Object Reconstruction 50%
• 2021

  CP-loss: Connectivity-preserving Loss for Road Curb Detection in Autonomous Driving with Aerial Images

  Xu, Z., Sun, Y., Wang, L. & Liu, M., Dec 2021, IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2021. Institute of Electrical and Electronics Engineers Inc., p. 1117-1123 7 p. (IEEE International Conference on Intelligent Robots and Systems).

  Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

  • Roads 100%
  • Autonomous Driving 44%
  • Loss 44%
  • Segmentation 33%
  • Maps 33%
  2 Citations (Scopus)

• DiGNet: Learning Scalable Self-Driving Policies for Generic Traffic Scenarios with Graph Neural Networks

  Cai, P., Wang, H., Sun, Y. & Liu, M., Dec 2021, IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2021. Institute of Electrical and Electronics Engineers Inc., p. 8979-8984 6 p. (IEEE International Conference on Intelligent Robots and Systems).

  Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

  • Intersections 100%
  • Road 100%
  • Driving Simulator 100%
  • Performance 100%
  • Environment 100%
  3 Citations (Scopus)

• End-to-end interactive prediction and planning with optical flow distillation for autonomous driving

  Wang, H., Cai, P., Fan, R., Sun, Y. & Liu, M., Jun 2021, Proceedings - 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2021. IEEE Computer Society, p. 2229-2238 10 p. (IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops).

  Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

  • Autonomous Driving 100%
  • High Definition 50%
  • Driven Approach 50%
  • Learning Technology 50%
  • Network Performance 50%
  6 Citations (Scopus)

• Learning Interpretable End-to-End Vision-Based Motion Planning for Autonomous Driving with Optical Flow Distillation

  Wang, H., Cai, P., Sun, Y., Wang, L. & Liu, M., Oct 2021, 2021 IEEE International Conference on Robotics and Automation, ICRA 2021. Institute of Electrical and Electronics Engineers Inc., p. 13731-13737 7 p. (Proceedings - IEEE International Conference on Robotics and Automation; vol. 2021-May).

  Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

  • Autonomous Driving 100%
  • Motion Planning 75%
  • Semantics 50%
  • Networks 50%
  • Interpretability 25%
  6 Citations (Scopus)

• S2P2: Self-Supervised Goal-Directed Path Planning Using RGB-D Data for Robotic Wheelchairs

  Wang, H., Sun, Y., Fan, R. & Liu, M., Oct 2021, 2021 IEEE International Conference on Robotics and Automation, ICRA 2021. Institute of Electrical and Electronics Engineers Inc., p. 11422-11428 7 p. (Proceedings - IEEE International Conference on Robotics and Automation; vol. 2021-May).

  Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

  • Path Planning 100%
  • Robotics 50%
  • Directed Path 33%
  • Experimental Result 16%
  • Autonomous Navigation 16%
  2 Citations (Scopus)
• 2020

  Applying surface normal information in drivable area and road anomaly detection for ground mobile robots

  Wang, H., Fan, R., Sun, Y. & Liu, M., 24 Oct 2020, 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2020. IEEE, p. 2706-2711 6 p. 9341340. (IEEE International Conference on Intelligent Robots and Systems).

  Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

  • Convolutional Neural Network 100%
  • Anomaly Detection 100%
  • Mobile Robot 66%
  • Experimental Result 33%
  • Image Segmentation 33%
  25 Citations (Scopus)

• Monocular Visual Odometry using Learned Repeatability and Description

  Huang, H., Ye, H., Sun, Y. & Liu, M., May 2020, 2020 IEEE International Conference on Robotics and Automation, ICRA 2020. IEEE, p. 8913-8919 7 p. 9197406. (Proceedings - IEEE International Conference on Robotics and Automation).

  Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

  • Visual Odometry 100%
  • Pose Estimation 33%
  • Reconstruction Accuracy 33%
  • Evaluation 33%
  • Accuracy 33%
  5 Citations (Scopus)
• 2019

  Accurate lane detection with atrous convolution and spatial pyramid pooling for autonomous driving

  Sun, Y., Wang, L., Chen, Y. & Liu, M., Dec 2019, IEEE International Conference on Robotics and Biomimetics, ROBIO 2019. IEEE, p. 642-647 6 p. 8961705. (IEEE International Conference on Robotics and Biomimetics, ROBIO 2019).

  Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

  • Detection 100%
  • Autonomous Driving 75%
  • Networks 75%
  • Detection Accuracy 50%
  • Experimental Result 25%
  7 Citations (Scopus)

• Metric Monocular Localization Using Signed Distance Fields

  Huang, H., Sun, Y., Ye, H. & Liu, M., Nov 2019, 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2019. IEEE, p. 1195-1201 7 p. 8968033. (IEEE International Conference on Intelligent Robots and Systems).

  Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

  • Signed Distance 100%
  • Scene Structure 50%
  • Odometry 50%
  • Local Structure 50%
  • Roles 50%
  8 Citations (Scopus)

• Multiple-object tracking based on monocular camera and 3-D lidar fusion for autonomous vehicles

  Chen, H., Xue, C., Liu, S., Sun, Y. & Chen, Y., Dec 2019, IEEE International Conference on Robotics and Biomimetics, ROBIO 2019. IEEE, p. 456-460 5 p. 8961438. (IEEE International Conference on Robotics and Biomimetics, ROBIO 2019).

  Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

  • Autonomous Vehicles 100%
  • Tracking Method 100%
  • Experimental Result 50%
  • Real World 50%
  • Matching Error 50%
  6 Citations (Scopus)

• Reliable Monocular Ego-Motion Estimation System in Rainy Urban Environments

  Huang, H., Sun, Y. & Liu, M., Oct 2019, 2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019. IEEE, p. 1290-1297 8 p. 8916977. (2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019).

  Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

  • Urban Environment 100%
  • System Mapping 100%
  • Outlier 50%
  • Convolutional Neural Network 50%
  • Weather Condition 50%
  4 Citations (Scopus)

• Robust lane marking detection algorithm using drivable area segmentation and extended SLT

  Ozgunalp, U., Fan, R., Cheng, S., Sun, Y., Zuo, W., Zhu, Y., Xue, B., Zheng, L., Liang, Q. & Liu, M., Dec 2019, IEEE International Conference on Robotics and Biomimetics, ROBIO 2019. IEEE, p. 2625-2629 5 p. 8961686. (IEEE International Conference on Robotics and Biomimetics, ROBIO 2019).

  Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

  • Detection 100%
  • Segmentation 75%
  • Detection Algorithm 50%
  • Algorithms 25%
  • Parallelism 25%
  1 Citation (Scopus)

• Vision-Based Trajectory Planning via Imitation Learning for Autonomous Vehicles

  Cai, P., Sun, Y., Chen, Y. & Liu, M., Oct 2019, 2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019. IEEE, p. 2736-2742 7 p. 8917149. (2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019).

  Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

  • Collisions 100%
  • Subnetwork 100%
  • Trajectory Planning 100%
  • Imitation 100%
  • Autonomous Driving 50%
  24 Citations (Scopus)
• 2018

  A Locomotion Recognition System Using Depth Images

  Yan, T., Sun, Y., Liu, T., Chcung, C. H. & Meng, M. Q. H., 10 Sept 2018, 2018 IEEE International Conference on Robotics and Automation, ICRA 2018. IEEE, p. 6766-6772 7 p. 8460514. (Proceedings - IEEE International Conference on Robotics and Automation).

  Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

  • Locomotion 100%
  • Recognition 66%
  • Recognition System 50%
  • User 50%
  • Accuracy 33%
  24 Citations (Scopus)

• An Accurate Localization Scheme for Mobile Robots Using Optical Flow in Dynamic Environments

  Cheng, J., Sun, Y., Chi, W., Wang, C., Cheng, H. & Meng, M. Q. H., 2 Jul 2018, 2018 IEEE International Conference on Robotics and Biomimetics, ROBIO 2018. IEEE, p. 723-728 6 p. 8664893. (2018 IEEE International Conference on Robotics and Biomimetics, ROBIO 2018).

  Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

  • Mapping Algorithm 100%
  • Algorithms 50%
  • Dynamic Environment 50%
  • Pose Estimation 50%
  • Quantitative Evaluation 50%
  11 Citations (Scopus)

• Invisibility: A moving-object removal approach for dynamic scene modelling using RGB-D camera

  Sun, Y., Liu, M. & Meng, M. Q. H., 23 Mar 2018, 2017 IEEE International Conference on Robotics and Biomimetics, ROBIO 2017. IEEE, p. 50-55 6 p. (2017 IEEE International Conference on Robotics and Biomimetics, ROBIO 2017; vol. 2018-January).

  Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

  • Simulation Mode 100%
  • Scene Modeling 100%
  • Modeling Algorithm 50%
  • Algorithms 25%
  • Experimental Result 25%
  4 Citations (Scopus)
• 2017

  A dense semantic mapping system based on CRF-RNN network

  Cheng, J., Sun, Y. & Meng, M. Q. H., 30 Aug 2017, 2017 18th International Conference on Advanced Robotics, ICAR 2017. IEEE, p. 589-594 6 p. 8023671. (2017 18th International Conference on Advanced Robotics, ICAR 2017).

  Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

  • Semantic Information 100%
  • Semantic Mapping 100%
  • Algorithms 66%
  • System Mapping 66%
  • Recurrent Neural Network 66%
  17 Citations (Scopus)
• 2015

  Motion removal from moving platforms: An RGB-D data-based motion detection, tracking and segmentation approach

  Sun, Y., Liu, M. & Meng, M. Q. H., 2015, 2015 IEEE International Conference on Robotics and Biomimetics, IEEE-ROBIO 2015. IEEE, p. 1377-1382 6 p. 7418963. (2015 IEEE International Conference on Robotics and Biomimetics, IEEE-ROBIO 2015).

  Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

  • Application 100%
  • Experimental Result 50%
  • Dynamic Environment 50%
  • Motion Pattern 50%
  • Preprocessing Stage 50%
  4 Citations (Scopus)

• Multiple moving objects tracking for automated visual surveillance

  Sun, Y. & Meng, M. Q. H., 28 Sept 2015, 2015 IEEE International Conference on Information and Automation, ICIA 2015 - In conjunction with 2015 IEEE International Conference on Automation and Logistics. IEEE, p. 1617-1621 5 p. 7279544. (2015 IEEE International Conference on Information and Automation, ICIA 2015 - In conjunction with 2015 IEEE International Conference on Automation and Logistics).

  Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

  • Tracking Object 100%
  • Visual Surveillance 66%
  • Experimental Result 33%
  • Practical Application 33%
  • Tracking Algorithm 33%
  5 Citations (Scopus)
• 2014

  WiFi signal strength-based robot indoor localization

  Sun, Y., Liu, M. & Meng, M. Q. H., 21 Oct 2014, 2014 IEEE International Conference on Information and Automation, ICIA 2014. IEEE, p. 250-256 7 p. 6932662. (2014 IEEE International Conference on Information and Automation, ICIA 2014).

  Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

  • Algorithms 100%
  • Regression 60%
  • Gaussian Process 60%
  • Signal Strength 40%
  • Robotics 20%
  60 Citations (Scopus)