Results 11 to 20 of about 3,501 (181)
2.5D vehicle odometry estimation [PDF]
IET Intelligent Transport Systems, 2022 It is well understood that in ADAS applications, a good estimate of the pose of the vehicle is required. This paper proposes a metaphorically named 2.5D odometry, whereby the planar odometry derived from the yaw rate sensor and four wheel speed sensors ...
Ciarán Eising +5 more
doaj +4 more sources
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2018 ** Corrected a bug which caused the real-time results for ORB-SLAM (dashed lines in Fig. 10 and 12) to be much worse than they should be ** Added references [12], [13],[19], and Fig. 11. ** Partly re-formulated and extended [5. Conclusion].
Jakob Engel +2 more
exaly +4 more sources
Visual-LiDAR Odometry Aided by Reduced IMU
ISPRS International Journal of Geo-Information, 2016 This paper proposes a method for combining stereo visual odometry, Light Detection And Ranging (LiDAR) odometry and reduced Inertial Measurement Unit (IMU) including two horizontal accelerometers and one vertical gyro.
Yashar Balazadegan Sarvrood +2 more
exaly +3 more sources
Social Odometry: Imitation Based Odometry in Collective Robotics
International Journal of Advanced Robotic Systems, 2009 The improvement of odometry systems in collective robotics remains an important challenge for several applications. Social odometry is an online social dynamics which confers the robots the possibility to learn from the others. Robots neither share any movement constraint nor access to centralized information.
Alvaro Gutierrez +2 more
exaly +6 more sources
Semantic segmentation–aided visual odometry for urban autonomous driving
International Journal of Advanced Robotic Systems, 2017 Visual odometry plays an important role in urban autonomous driving cars. Feature-based visual odometry methods sample the candidates randomly from all available feature points, while alignment-based visual odometry methods take all pixels into account ...
Hongbo Gao
exaly +2 more sources
Online Mapping from Weight Matching Odometry and Highly Dynamic Point Cloud Filtering via Pseudo-Occupancy Grid [PDF]
SensorsEfficient locomotion in autonomous driving and robotics requires clearer visualization and more precise map. This paper presents a high accuracy online mapping including weight matching LiDAR-IMU-GNSS odometry and an object-level highly dynamic point ...
Xin Zhao +4 more
doaj +2 more sources
Mobile Robot Integrated with Gyroscope by Using IKF
International Journal of Advanced Robotic Systems, 2011 This paper mainly proposes absolute positioning instruments using camera positioning system and compass.The absolute positioning systems are used to estimate absolute position and orientation errors combined with estimated position and orientation from ...
Surachai Panich, Nitin Afzulpurkar
doaj +2 more sources
Sensors, 2021 Recently, technology utilizing ultra-wideband (UWB) sensors for robot localization in an indoor environment where the global navigation satellite system (GNSS) cannot be used has begun to be actively studied.
Jieum Hyun, Hyun Myung
doaj +1 more source
Benchmarking Pedestrian Odometry: The Brown Pedestrian Odometry Dataset (BPOD)
2022 International Conference on 3D Vision (3DV), 2022 We present the Brown Pedestrian Odometry Dataset (BPOD) for benchmarking visual odometry algorithms in head-mounted pedestrian settings. This dataset was captured using synchronized global and rolling shutter stereo cameras in 12 diverse indoor and outdoor locations on Brown University's campus.
David Charatan +2 more
openaire +2 more sources