Hilti-Oxford Dataset: a millimeter-accurate benchmark for simultaneous localization and mapping
Simultaneous Localization and Mapping (SLAM) is being deployed in real-world applications, however many state-of-the-art solutions still struggle in many common scenarios. A key necessity in progressing SLAM research is the availability of high-quality datasets and fair and transparent benchmarking....
Egile Nagusiak: | Zhang, L, Helmberger, M, Fu, LFT, Wisth, D, Camurri, M, Scaramuzza, D, Fallon, M |
---|---|
Formatua: | Journal article |
Hizkuntza: | English |
Argitaratua: |
Institute of Electrical and Electronics Engineers
2022
|
Antzeko izenburuak
-
The Newer College dataset: handheld LiDAR, inertial and vision with ground truth
nork: Ramezani, M, et al.
Argitaratua: (2021) -
VILENS: Visual, inertial, lidar, and leg odometry for all-terrain legged robots
nork: Wisth, D, et al.
Argitaratua: (2022) -
Robust legged robot state estimation using factor graph optimization
nork: Wisth, D, et al.
Argitaratua: (2019) -
Preintegrated velocity bias estimation to overcome contact nonlinearities in legged robot odometry
nork: Wisth, D, et al.
Argitaratua: (2020) -
Unified multi-modal landmark tracking for tightly coupled lidar-visual-inertial odometry
nork: Wisth, D, et al.
Argitaratua: (2021)