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20172026
most citedA Deep Four-Stream Siamese Convolutional Neural Network with Joint Verification and Identification Loss for Person Re-detection

21 citations · 113 across the 46 of their papers we have counts for

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6 papers · 1 filter

cs.RO2026

Hierarchical Two-Stage Framework for Environment-Aware Long-Horizon Vessel Trajectory Prediction

Ganeshaaraj Gnanavel, Tharindu Fernando, Sridha Sridharan +1

Long-horizon vessel trajectory forecasting under real ocean conditions is critical for collision avoidance, traffic management, and route planning. However, achieving accurate pred…

cs.RO2023

WildScenes: A Benchmark for 2D and 3D Semantic Segmentation in Large-scale Natural Environments

Kavisha Vidanapathirana, Joshua Knights, Stephen Hausler +8

Recent progress in semantic scene understanding has primarily been enabled by the availability of semantically annotated bi-modal (camera and LiDAR) datasets in urban environments.…

cs.RO2020

Elasticity Meets Continuous-Time: Map-Centric Dense 3D LiDAR SLAM

Chanoh Park, Peyman Moghadam, Jason Williams +3

Map-centric SLAM utilizes elasticity as a means of loop closure. This approach reduces the cost of loop closure while still provides large-scale fusion-based dense maps, when compa…

cs.RO2020

Spatiotemporal Camera-LiDAR Calibration: A Targetless and Structureless Approach

Chanoh Park, Peyman Moghadam, Soohwan Kim +2

The demand for multimodal sensing systems for robotics is growing due to the increase in robustness, reliability and accuracy offered by these systems. These systems also need to b…

cs.RO2019

Robust Photogeometric Localization over Time for Map-Centric Loop Closure

Chanoh Park, Soohwan Kim, Peyman Moghadam +3

Map-centric SLAM is emerging as an alternative of conventional graph-based SLAM for its accuracy and efficiency in long-term mapping problems. However, in map-centric SLAM, the pro…

cs.RO2017

Probabilistic Surfel Fusion for Dense LiDAR Mapping

Chanoh Park, Soohwan Kim, Peyman Moghadam +2

With the recent development of high-end LiDARs, more and more systems are able to continuously map the environment while moving and producing spatially redundant information. Howev…