Jing Liang
  • Bio
  • News
  • Projects
  • Submissions
  • Papers
  • Experience
  • Datasets
    • GND: Global Navigation Dataset with Multi-Modal Perception and Multi-Category Traversability in Outdoor Campus Environments
  • Language-Model-Based Approaches
    • 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
    • On the safety concerns of deploying llms/vlms in robotics: Highlighting the risks and vulnerabilities
    • TGS: Trajectory Generation and Selection using Vision Language Models in Mapless Outdoor Environments
  • Projects
    • Datasets
    • Indoor Navigation
    • Language-Model-Based Approaches
    • Outdoor Navigation
    • Place Recognition
    • Scene Understanding
  • 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
  • Scene Understanding
    • ET-Former: Efficient Triplane Deformable Attention for 3D Semantic Scene Completion From Monocular Camera
    • 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
  • Outdoor Navigation
    • 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
  • 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

Outdoor Navigation

Oct 1010, 12120 · 1 min read
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Outdoor Navigation solves the problem of moving robots in outdoor scenarios with complex terrains and traffic conditions. It includes outdoor trajectory generation and outdoor social navigation.

Last updated on Oct 1010, 12120
Projects
Jing Liang
Authors
Jing Liang
PhD Student
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Place Recognition Oct 1010, 12120 →

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