5 papers
Exposing the Long-tail in Embodied Urban Navigation via Scalable Learning from In-the-Wild Videos
Bingyi Xia, Han Bao, Zhewei Chen +5
Learning embodied urban navigation policies from real-world data is constrained by the cost of task-specific data collection and the limited coverage of rare yet safety-critical sc…
TARIC: Memory-Augmented Traversability-Aware Outdoor VLN under Interrupted Semantic Cues
Tianle Zeng, Hanjing Ye, Jianwei Peng +3
Outdoor vision-language navigation (VLN) in long-range, open-world environments is frequently disrupted by semantic-cue interruptions, where informative goal cues become sparse, oc…
VG-Mapping: Variation-aware Density Control for Online 3D Gaussian Mapping in Semi-static Scenes
Yicheng He, Jingwen Yu, Guangcheng Chen +1
Maintaining an up-to-date map that accurately reflects recent changes in the environment is crucial, especially for robots that repeatedly traverse the same space. Failing to promp…
GV-Bench: Benchmarking Local Feature Matching for Geometric Verification of Long-term Loop Closure Detection
Jingwen Yu, Hanjing Ye, Jianhao Jiao +2
Visual loop closure detection is an important module in visual simultaneous localization and mapping (SLAM), which associates current camera observation with previously visited pla…
FusionPortableV2: A Unified Multi-Sensor Dataset for Generalized SLAM Across Diverse Platforms and Scalable Environments
Hexiang Wei, Jianhao Jiao, Xiangcheng Hu +7
Simultaneous Localization and Mapping (SLAM) technology has been widely applied in various robotic scenarios, from rescue operations to autonomous driving. However, the generalizat…