Results 31 to 40 of about 90,267 (180)
POINT CLOUD REFINEMENT WITH A TARGET-FREE INTRINSIC CALIBRATION OF A MOBILE MULTI-BEAM LIDAR SYSTEM [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016 LIDAR sensors are widely used in mobile mapping systems. The mobile mapping platforms allow to have fast acquisition in cities for example, which would take much longer with static mapping systems.
H. Nouiraa, J. E. Deschaud, F. Goulettea
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IEEE AccessThis study proposes a novel light detection and ranging (LiDAR) sensor. The sensor integrates a variable field-of-view (FoV) function by utilizing optical orthogonal frequency-division multiple access (OOFDMA) to generate laser pulse streams and a Risley
Gunzung Kim +3 more
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, 2019 In this paper, we describe a strategy for training neural networks for object detection in range images obtained from one type of LiDAR sensor using labeled data from a different type of LiDAR sensor. Additionally, an efficient model for object detection
Dietmayer, Klaus, Herzog, Manuel
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Spatially distributed water-balance and meteorological data from the Wolverton catchment, Sequoia National Park, California [PDF]
, 2018 Accurate water-balance measurements in the seasonal, snow-dominated Sierra Nevada are important for forest and downstream water management. However, few sites in the southern Sierra offer detailed records of the spatial and temporal patterns of snowpack ...
E. M. Stacy +6 more
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Tightly Coupled 3D Lidar Inertial Odometry and Mapping
, 2019 Ego-motion estimation is a fundamental requirement for most mobile robotic applications. By sensor fusion, we can compensate the deficiencies of stand-alone sensors and provide more reliable estimations.
Chen, Yuying, Liu, Ming, Ye, Haoyang
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Sensor Equivariance by LiDAR Projection Images
2023 IEEE Intelligent Vehicles Symposium (IV), 2023 In this work, we propose an extension of conventional image data by an additional channel in which the associated projection properties are encoded. This addresses the issue of sensor-dependent object representation in projection-based sensors, such as LiDAR, which can lead to distorted physical and geometric properties due to variations in sensor ...
Reichert, Hannes +4 more
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SLAM Overview: From Single Sensor to Heterogeneous Fusion
Remote Sensing, 2022 After decades of development, LIDAR and visual SLAM technology has relatively matured and been widely used in the military and civil fields. SLAM technology enables the mobile robot to have the abilities of autonomous positioning and mapping, which ...
Weifeng Chen +6 more
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Characterization of a RS-LiDAR for 3D Perception
, 2017 High precision 3D LiDARs are still expensive and hard to acquire. This paper presents the characteristics of RS-LiDAR, a model of low-cost LiDAR with sufficient supplies, in comparison with VLP-16.
Liao, Qinghai +5 more
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Multimodal 3D Object Detection from Simulated Pretraining [PDF]
, 2019 The need for simulated data in autonomous driving applications has become increasingly important, both for validation of pretrained models and for training new models.
A Gaidon +4 more
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A Survey on Deep-Learning-Based LiDAR 3D Object Detection for Autonomous Driving
Sensors, 2022 LiDAR is a commonly used sensor for autonomous driving to make accurate, robust, and fast decision-making when driving. The sensor is used in the perception system, especially object detection, to understand the driving environment.
Simegnew Yihunie Alaba, John E. Ball
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