activity
20222026
most citedLong-Term Human Trajectory Prediction using 3D Dynamic Scene Graphs

16 citations · 41 across the 26 of their papers we have counts for

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Showing 2024Show all

7 papers · 1 filter

cs.CV2024

Test-Time Certifiable Self-Supervision to Bridge the Sim2Real Gap in Event-Based Satellite Pose Estimation

Mohsi Jawaid, Rajat Talak, Yasir Latif +2

Deep learning plays a critical role in vision-based satellite pose estimation. However, the scarcity of real data from the space environment means that deep models need to be train…

cs.CV2024

Mixed Diffusion for 3D Indoor Scene Synthesis

Siyi Hu, Diego Martin Arroyo, Stephanie Debats +3

Generating realistic 3D scenes is an area of growing interest in computer vision and robotics. However, creating high-quality, diverse synthetic 3D content often requires expert in…

cs.RO2024★ 16 cited

Long-Term Human Trajectory Prediction using 3D Dynamic Scene Graphs

Nicolas Gorlo, Lukas Schmid, Luca Carlone

We present a novel approach for long-term human trajectory prediction in indoor human-centric environments, which is essential for long-horizon robot planning in these environments…

cs.RO2024★ 2 cited

Clio: Real-time Task-Driven Open-Set 3D Scene Graphs

Dominic Maggio, Yun Chang, Nathan Hughes +6

Modern tools for class-agnostic image segmentation (e.g., SegmentAnything) and open-set semantic understanding (e.g., CLIP) provide unprecedented opportunities for robot perception…

cs.RO2024★ 1 cited

Task and Motion Planning in Hierarchical 3D Scene Graphs

Aaron Ray, Christopher Bradley, Luca Carlone +1

Recent work in the construction of 3D scene graphs has enabled mobile robots to build large-scale metric-semantic hierarchical representations of the world. These detailed models c…

cs.RO2024★ 3 cited

Khronos: A Unified Approach for Spatio-Temporal Metric-Semantic SLAM in Dynamic Environments

Lukas Schmid, Marcus Abate, Yun Chang +1

Perceiving and understanding highly dynamic and changing environments is a crucial capability for robot autonomy. While large strides have been made towards developing dynamic SLAM…

cs.RO2024

Kimera2: Robust and Accurate Metric-Semantic SLAM in the Real World

Marcus Abate, Yun Chang, Nathan Hughes +1

We present improvements to Kimera, an open-source metric-semantic visual-inertial SLAM library. In particular, we enhance Kimera-VIO, the visual-inertial odometry pipeline powering…