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Found 6 papers, 3 papers with code
Event-Based Visual Odometry on Non-Holonomic Ground Vehicles
Despite the promise of superior performance under challenging conditions, event-based motion estimation remains a hard problem owing to the difficulty of extracting and tracking stable features from event streams.
Online Stability Improvement of Groebner Basis Solvers using Deep Learning
Over the past decade, the Gr\"obner basis theory and automatic solver generation have lead to a large number of solutions to geometric vision problems.
Tight Fusion of Events and Inertial Measurements for Direct Velocity Estimation
However, this poses a risk in velocity-based control scenarios, as the quality of the estimation of kinematics depends on the stability of absolute camera and landmark coordinates estimation.
Cross-Modal Semi-Dense 6-DoF Tracking of an Event Camera in Challenging Conditions
Vision-based localization is a cost-effective and thus attractive solution for many intelligent mobile platforms.
Accelerating Globally Optimal Consensus Maximization in Geometric Vision
Branch-and-bound-based consensus maximization stands out due to its important ability of retrieving the globally optimal solution to outlier-affected geometric problems.
Deep-SLAM++: Object-level RGBD SLAM based on class-specific deep shape priors
In an effort to increase the capabilities of SLAM systems and produce object-level representations, the community increasingly investigates the imposition of higher-level priors into the estimation process.
