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Extrinsic Multi Sensor Calibration under Uncertainties

2019 IEEE Intelligent Transportation Systems Conference (ITSC), 2019
Highly accurate extrinsic sensor calibration is crucial for environment perception of robots as it allows to fuse information from different sensors. On todays robotic platforms, e.g. autonomous cars, a variety of different sensors with different measurement characteristics is used.
Kühner, Tilman, Kümmerle, Julius
openaire   +2 more sources

Continuous extrinsic online calibration for stereo cameras

2016 IEEE Intelligent Vehicles Symposium (IV), 2016
Accurate stereo camera calibration is crucial for 3D reconstruction from stereo images. In this paper, we propose an algorithm for continuous online recalibration of all extrinsic parameters of a stereo camera, which is rigidly mounted on an autonomous vehicle.
Georg R. Mueller, Hans-Joachim Wuensche
openaire   +1 more source

Targetless Extrinsic Calibration of Camera and LiDAR via Identifying True 2-D–3-D Line Matching Among Unknown Line Correspondences of Structured Environments

IEEE Transactions on Instrumentation and Measurement
For those systems consisting of cameras and LiDAR, extrinsic calibration is unavoidable. Traditional methods usually start from a known initial pose and alternately optimize the extrinsic parameters of these sensors.
Le Zhou   +3 more
semanticscholar   +1 more source

A Single 2-D LiDAR Extrinsic Calibration for Autonomous Mobile Robots

IEEE Transactions on Instrumentation and Measurement, 2023
Autonomous mobile robots (AMRs) have revolutionized various aspects of our daily lives and manufacturing services. To enhance their efficiency, productivity, and safety, AMRs are equipped with advanced capacities such as object detection and tracking ...
Nguyen Van Toan, P. Khoi, Soo-Yeong Yi
semanticscholar   +1 more source

LiDAR-Link: Observability-Aware Probabilistic Plane-Based Extrinsic Calibration for Non-Overlapping Solid-State LiDARs

IEEE Robotics and Automation Letters
As solid-state LiDAR technology advances, mobile robotics and autonomous driving increasingly rely on multiple solid-state LiDARs for perception. However, limited or non-overlapping fields of view (FoV) among these sensors pose significant challenges for
Jie Xu   +7 more
semanticscholar   +1 more source

Vehicle-Motion-Constraint-Based Visual-Inertial-Odometer Fusion With Online Extrinsic Calibration

IEEE Sensors Journal, 2023
Autonomous positioning in complex urban areas is a challenging problem and has attracted increasing attention in academia. Multisensor fusion of camera, inertial measurement unit (IMU), and wheel odometer has been a prevailing solution that is not only ...
Hang Zhao, Xinchun Ji, Dongyan Wei
semanticscholar   +1 more source

eWand: An extrinsic calibration framework for wide baseline frame-based and event-based camera systems

IEEE International Conference on Robotics and Automation, 2023
Accurate calibration is crucial for using multiple cameras to triangulate the position of objects precisely. However, it is also a time-consuming process that needs to be repeated for every displacement of the cameras.
T. Gossard   +4 more
semanticscholar   +1 more source

MCSGCalib: Multi-Constraint-Based Extrinsic Calibration of Solid-State LiDAR and GNSS/INS for Autonomous Vehicles

IEEE transactions on intelligent transportation systems (Print)
With the benefits of compact size and cost effectiveness, the solid-state LiDAR (SSL) has emerged as the preferred choice for the mass-produced vehicles with advanced driver assistance systems (ADAS). To ensure precise and dependable mapping for ADAS, it
Weikang Yang   +3 more
semanticscholar   +1 more source

Extrinsic calibration of a set of 2D laser rangefinders

2015 IEEE International Conference on Robotics and Automation (ICRA), 2015
The integration of several 2D laser rangefinders in a vehicle is a common resource employed for 3D mapping, obstacle detection and navigation. The extrinsic calibration between such sensors (i.e. finding their relative poses) is required to exploit effectively the sensor measurements and to perform data fusion. The approaches found in the literature to
Eduardo Fernández-Moral   +2 more
openaire   +1 more source

Odometry-based online extrinsic sensor calibration

2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013
In recent years vehicles have been equipped with more and more sensors for environment perception. Among these sensors are cameras, RADAR, single-layer and multi-layer LiDAR. One key challenge for the fusion of these sensors is sensor calibration. In this paper we present a novel extrinsic calibration algorithm based on sensor odometry.
Sebastian Schneider 0002   +2 more
openaire   +1 more source

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