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[HTML][HTML] External multi-modal imaging sensor calibration for sensor fusion: A review
Multi-modal data fusion has gained popularity due to its diverse applications, leading to an
increased demand for external sensor calibration. Despite several proven calibration …
increased demand for external sensor calibration. Despite several proven calibration …
M2dgr: A multi-sensor and multi-scenario slam dataset for ground robots
We introduce M2DGR: a novel large-scale dataset collected by a ground robot with a full
sensor-suite including six fish-eye and one sky-pointing RGB cameras, an infrared camera …
sensor-suite including six fish-eye and one sky-pointing RGB cameras, an infrared camera …
Multi-modal sensor fusion for auto driving perception: A survey
Neural lighting simulation for urban scenes
Different outdoor illumination conditions drastically alter the appearance of urban scenes,
and they can harm the performance of image-based robot perception systems if not seen …
and they can harm the performance of image-based robot perception systems if not seen …
Deep multi-task learning for joint localization, perception, and prediction
Over the last few years, we have witnessed tremendous progress on many subtasks of
autonomous driving including perception, motion forecasting, and motion planning …
autonomous driving including perception, motion forecasting, and motion planning …
Cross-view matching for vehicle localization by learning geographically local representations
Cross-view matching aims to learn a shared image representation between ground-level
images and satellite or aerial images at the same locations. In robotic vehicles, matching a …
images and satellite or aerial images at the same locations. In robotic vehicles, matching a …
3D LiDAR and monocular camera calibration: A Review
H Zhang, S Li, X Zhu, H Chen, W Yao - IEEE Sensors Journal, 2025 - ieeexplore.ieee.org
Cameras and LiDAR sensors have been extensively utilized in autonomous systems to
enhance perception accuracy and robustness, owing to the highly complementary nature of …
enhance perception accuracy and robustness, owing to the highly complementary nature of …
Jist: Joint image and sequence training for sequential visual place recognition
Visual Place Recognition aims at recognizing previously visited places by relying on visual
clues, and it is used in robotics applications for SLAM and localization. Since typically a …
clues, and it is used in robotics applications for SLAM and localization. Since typically a …
Towards robust and accurate cooperative state estimation for multiple rigid bodies
Y Wang, P Sun, Z Wang - IEEE Transactions on Vehicular …, 2023 - ieeexplore.ieee.org
Estimating the state (ie, determining the position and orientation) of a rigid body (RB) is a
key enabler technology for many applications (eg, vehicle motion control and autonomous …
key enabler technology for many applications (eg, vehicle motion control and autonomous …