Results 11 to 20 of about 90,267 (180)
A Review of Multi-Sensor Fusion SLAM Systems Based on 3D LIDAR
Remote Sensing, 2022 The ability of intelligent unmanned platforms to achieve autonomous navigation and positioning in a large-scale environment has become increasingly demanding, in which LIDAR-based Simultaneous Localization and Mapping (SLAM) is the mainstream of research
Xiaobin Xu +7 more
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IEEE Open Journal of Intelligent Transportation Systems, 2022 Lidar sensors play an essential role in the perception system of automated vehicles. Fault Detection, Isolation, Identification, and Recovery (FDIIR) systems are essential for increasing the reliability of lidar sensors.
Birgit Schlager +3 more
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An Automotive LiDAR Performance Test Method in Dynamic Driving Conditions
Sensors, 2023 The Light Detection and Ranging (LiDAR) sensor has become essential to achieving a high level of autonomous driving functions, as well as a standard Advanced Driver Assistance System (ADAS).
Jewoo Park +4 more
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Sensor Aware Lidar Odometry [PDF]
2019 European Conference on Mobile Robots (ECMR), 2019 A lidar odometry method, integrating into the computation the knowledge about the physics of the sensor, is proposed. A model of measurement error enables higher precision in estimation of the point normal covariance. Adjacent laser beams are used in an outlier correspondence rejection scheme.
Kovalenko, Dmitri +2 more
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LiDAR Intensity Completion: Fully Exploiting the Message from LiDAR Sensors
Sensors, 2022 Light Detection and Ranging (LiDAR) systems are novel sensors that provide robust distance and reflection strength by active pulsed laser beams. They have significant advantages over visual cameras by providing active depth and intensity measurements that are robust to ambient illumination.
Weichen Dai +4 more
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INFORMATION ACQUISITION ON PEDESTRIAN MOVEMENTS IN URBAN TRAFFIC WITH A MOBILE MULTI-SENSOR SYSTEM [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2021 This paper presents an approach which combines LiDAR sensors and cameras of a mobile multi-sensor system to obtain information about pedestrians in the vicinity of the sensor platform.
B. Borgmann +4 more
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High Definition 3D Map Creation Using GNSS/IMU/LiDAR Sensor Integration to Support Autonomous Vehicle Navigation. [PDF]
Sensors (Basel), 2020 Ilci V, Toth C.
europepmc +2 more sources
INDOOR LIDAR RELOCALIZATION BASED ON DEEP LEARNING USING A 3D MODEL [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020 Indoor localization, navigation and mapping systems highly rely on the initial sensor pose information to achieve a high accuracy. Most existing indoor mapping and navigation systems cannot initialize the sensor poses automatically and consequently these
H. Zhao +3 more
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A Novel Dual-Encoder Model for Hyperspectral and LiDAR Joint Classification via Contrastive Learning
Remote Sensing, 2023 Deep-learning-based multi-sensor hyperspectral image classification algorithms can automatically acquire the advanced features of multiple sensor images, enabling the classification model to better characterize the data and improve the classification ...
Haibin Wu +4 more
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Sensors, 2021 Data collected from a moving lidar sensor can produce an accurate digital representation of the physical environment that is scanned, provided the time-dependent positions and orientations of the lidar sensor can be determined.
Ryan G. Brazeal +2 more
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