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Key skills for this role
Enhance existing or design and implement new SLAM pipelines to improve global trajectory consistency and reduce drift across large-scale mapping datasets collected from different sources.
Improve localization robustness across multi-session and multi-sensor capture systems.
Improve point cloud registration pipelines for LiDAR and multi-modal datasets.
Develop workflows for cross-session map alignment and map merging.
Improve and develop sensor fusion pipelines integrating LiDAR, cameras, GNSS, IMU, odometry, and external references.
Implement temporal synchronization and uncertainty-aware fusion methods.
Integrate third-party spatial datasets and external map sources into Voxelmaps mapping pipelines.
Design and maintain coordinate transformation frameworks across different coordinate systems.
Implement georeferencing and transformation validation workflows.
Support spatial accuracy assessment and error analysis.
Maintain and optimize camera calibration and camera pose optimization pipelines.
Improve trajectory accuracy through joint optimization of sensor geometry and pose estimates.
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GTSAM
Ceres Solver
g2o
Factor graph optimization
Bundle adjustment
PCL
Open3D
ICP / NDT registration
LiDAR processing
OpenCV
Camera models
Calibration methods
Pose estimation
SfM / photogrammetry
ROS / ROS2
Sensor synchronization
GNSS / IMU integration
State estimation
Coordinate reference systems
Geodesy
PROJ
GDAL
Transformation pipelines
Timeline: For immediate hire
Job Type: Full Time / Permanent, with benefits required by law
Location: Oxford, UK
Work Model: Remote, hybrid or office-based depending on selected candidate location
Pay: £85,000 – £105,000 per year, depending on experience
Private provider of geospatial and human-behavior datasets for autonomous vehicles, robots, drones, and Physical AI systems.
Visit company websiteGBP 85000-105000 yearly / year
Full Time, Contract, Internship, Temporary, Seasonal, Volunteer, Part Time
Senior · 5+ years experience
Hybrid
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