Jing Liang
  • Bio
  • News
  • Projects
  • Submissions
  • Papers
  • Experience
  • News
    • We have a paper accepted by ISER 2025: MOSU: Autonomous Long-range Robot Navigation with Multi-modal Scene Understanding.
    • We have six papers accepted by IROS 2025: VL-TGS, AutoSpatial, Social-LLaVA, ET-Former, CSCPR, and On the Vulnerability of LLM/VLM-Controlled Robotics.
    • We have three papers accepted by ICRA 2025: BehAV, VLM-Social-Nav and GND.
    • I gave an invited talk in UC riverside.
    • I gave an invited talk in the North Carolina State University.
    • We have 3 papers accepted by IROS 2024: PoCo, DTG and Probabilistic Motion Forecasting.
  • Scene Understanding
    • ET-Former: Efficient Triplane Deformable Attention for 3D Semantic Scene Completion From Monocular Camera
    • On the safety concerns of deploying llms/vlms in robotics: Highlighting the risks and vulnerabilities
    • Mtg: Mapless trajectory generator with traversability coverage for outdoor navigation
    • Terrapn: Unstructured terrain navigation using online self-supervised learning
    • Autonomous social distancing in urban environments using a quadruped robot
  • Social Navigation
    • AutoSpatial: Visual-Language Reasoning for Social Robot Navigation through Efficient Spatial Reasoning Learning
    • Social-LLaVA: Enhancing Robot Navigation through Human-Language Reasoning in Social Spaces
    • Vi-LAD: Vision-Language Attention Distillation for Socially-Aware Robot Navigation in Dynamic Environments
    • VLM-Social-Nav: Socially Aware Robot Navigation through Scoring using Vision-Language Models
    • BehAV: Behavioral Rule Guided Autonomy Using VLMs for Robot Navigation in Outdoor Scenes
  • Outdoor Navigation
    • MOSU: Autonomous Long-range Robot Navigation with Multi-modal Scene Understanding
    • VL-TGS: Trajectory Generation and Selection using Vision Language Models in Mapless Outdoor Environments
    • Deep Stochastic Kinematic Models for Probabilistic Motion Forecasting in Traffic
    • DTG: Diffusion-based Trajectory Generation for Mapless Global Navigation
    • GrASPE: Graph based Multimodal Fusion for Robot Navigation in Outdoor Environments
    • Adaptiveon: Adaptive outdoor local navigation method for stable and reliable actions
  • Place Recognition
    • CSCPR: Cross-Source-Context Indoor RGB-D Place Recognition
    • PoCo: Point Context Cluster for RGBD Indoor Place Recognition
    • Visual, Spatial, Geometric-Preserved Place Recognition for Cross-View and Cross-Modal Collaborative Perception
    • CrossLoc3D: Aerial-Ground Cross-Source 3D Place Recognition
  • Datasets
    • GND: Global Navigation Dataset with Multi-Modal Perception and Multi-Category Traversability in Outdoor Campus Environments
  • Projects
    • Datasets
    • Indoor Navigation
    • Outdoor Navigation
    • Place Recognition
    • Scene Understanding
    • Social Navigation
  • Projects
  • Experience
  • Indoor Navigation
    • MSVIPER
    • Image-goal navigation in complex environments via modular learning
    • XAI-N: Sensor-based robot navigation using expert policies and decision trees
    • OF-VO: Efficient Navigation Among Pedestrians Using Commodity Sensors
    • Crowd-steer: Realtime smooth and collision-free robot navigation in densely crowded scenarios trained using high-fidelity simulation
    • DenseCAvoid: Real-time Navigation in Dense Crowds using Anticipatory Behaviors

Place Recognition

Oct 1010, 12120 · 1 min read
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Place recognition localize the robot in a global map given current observations. This task includes place recognition in indoor and outdoor scenarios with various sensors.

Last updated on Oct 1010, 12120
Projects
Jing Liang
Authors
Jing Liang
Postdoctoral Scholar
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Scene Understanding Oct 1010, 12120 →

© 2025 Jing Liang. This work is licensed under CC BY NC ND 4.0

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