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Chenglin Pang

7 accepted papers

2025

CAO-RONet: A Robust 4D Radar Odometry with Exploring More Information from Low-Quality Points

ICRA 2025

Recently, 4D millimetre-wave radar exhibits more stable perception ability than LiDAR and camera under adverse conditions (e.g. rain and fog). However, low-quality radar points hinder its application, especially the odometry task that requires a dense and accurate matching. To fully explore the pote

Cited by 3SourcecodeScholar
2025

Visual Localization with Offline Google Satellite Map-Assisted for Ground Vehicles in GNSS-Denied Environment

IROS 2025

Vehicle localization is a critical component in the planning and navigation of autonomous driving system. Generally, traditional vehicle localization methods rely on the Global Navigation Satellite System (GNSS) for self-localization. Unfortunately, GNSS can become unreliable and may fail in urban c

Cited by 0SourcecodeScholar
2024

ASML-VDIO: Visual-Depth-Inertial Odometry using Selected Accurate and Stable Multi-Modal Landmarks in Structural Environments

IROS 2024poster

In complex indoor structural scenes such as shopping centers and malls, camera pose estimation using pure point features is easy to fail due to the difficulty in extracting sufficient and stable point features from weak textures or dynamic environments. Recent works have attempted to address these c…

Cited by 0SourceScholar
2024

LM-Mapping: Large-Scale and Multi-Session Point Cloud Consistent Mapping

RA-L 2024

In the field of autonomous driving and mobile robotics, constructing high-precision prior maps is a significant problem. For large outdoor scenes, maps often need to be segmented or collected repeatedly. Issues such as sensor degradation and measurement error can result in map inconsistencies or loc

Cited by 4SourceScholar
2024

Observation Time Difference: an Online Dynamic Objects Removal Method for Ground Vehicles

ICRA 2024poster

In the process of urban environment mapping, the sequential accumulations of dynamic objects will leave a large number of traces in the map. These traces will usually have bad influences on the localization accuracy and navigation performance of the robot. Therefore, dynamic objects removal plays an…

Cited by 1SourcecodeScholar