Binbin Li

Binbin Li

PhD Candidate
Computer Engineering
Texas A&M University

I obtained my Ph.D. in Computer Engineering at Texas A&M University. Previously, I completed my bachelor’s degree in Electrical and Electronics Engineering at Harbin Institute of Technology. My research interests include robot perception, behavior planning, scene understanding, localization and mapping, optimization for robotics.

Updates

  • [2020/10] I successfully passed my Ph.D. dissertation defense.
  • [2020/06] My paper, “Lane Marking Verification for High Definition Map Maintenance Using Crowdsourced Images”, was accepted by IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2020).
  • [2019/09] Our paper, “Toward Automatic Subsurface Pipeline Mapping by Fusing a Ground-Penetrating Radar and a Camera”, was accepted by IEEE Transactions on Automation Science and Engineering (T-ASE).
  • [2019/09] The website for the camera-LiDAR bimodal lane verification, detection, tracking and generation for autonomous vehicle was officially online.
  • [2019/08] I was sponsored by AutoDrive Challenge to support our autonomous vehicle team at Texas A&M University.
  • [2019/06] Our paper, “Automatic Pavement Crack Detection by Multi-Scale Image Fusion”, was accepted by IEEE Transactions on Intelligent Transportation Systems (T-ITS).
  • [2019/06] I started my internship at Tencent America in Palo Alto, California. I used crowdsourced videos to verify the lane markings for the high-definition map.
  • [2019/06] My paper, “Virtual Lane Boundary Generation for Human-Compatible Autonomous Driving: A Tight Coupling between Perception and Planning”, was accepted by IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2019).
  • [2019/04] Our paper, “Proprioceptive Localization Assisted by Magnetoreception: A Minimalist Intermittent Heading-based Approach”, was accepted by IEEE Robotics and Automation Letters (RA-L) and also presented at IEEE International Conference at Robotics and Automation (ICRA 2019).
  • [2018/10] My paper, “Lane Marking Quality Assessment for Autonomous Driving”, was accepted by IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2018).
  • [2018/04] I passed my prelim and dissertation proposal.
  • [2017/12] My paper, “Probabilistic Boundary Coverage for Unknown Target Fields with Large Perception Uncertainty and Limited Sensing Range”, was accepted by International Symposium on Robotics Research (ISRR).
  • [2016/05] I passed my PhD Qualifying Exam.

Services

  • Student Member: IEEE, IEEE RAS, SAE International, Sigma Xi.
  • Reviewer: IROS 2015 - 2020; ICRA 2019, 2021, 2022; RA-L 2016, 2019, 2020, 2022; WAFR 2016, 2018; ISER 2018; IJRR, 2017; T-RO, 2016, 2019; RSS, 2016; ICIEA, 2014; T-ASE 2019.

Teaching

Teaching Assistant, Compute Science Department, Texas A&M University

  • CS221: Data Structure and Algorithms, Fall 2018.
  • CS310: Database Systems, Summer 2018/Spring 2019.
  • CS121: Introduction to Program Design and Concepts, Spring 2016.

Awards and Honors

  • Department Travel Grant, Texas A&M University, 2020
  • The 2nd Overall Place, Year 1-3 of GM-SAE AutoDrive Challenge, The 12th Unmanned Team, TAMU, 2020
  • Graduate Student Research and Presentation Grant, Texas A&M University, 2017
  • Doctoral Consortium Award, International Symposium on Robotics Research, 2017