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Found 10 papers, 3 papers with code
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.
Revisiting Event-based Video Frame Interpolation
We therefore propose to incorporate RGB information in an event-guided optical flow refinement strategy.
Cross-modal Place Recognition in Image Databases using Event-based Sensors
Visual place recognition is an important problem towards global localization in many robotics tasks.
Globally-Optimal Contrast Maximisation for Event Cameras
The practical validity of our approach is demonstrated by a successful application to three different event camera motion estimation problems.
Globally-Optimal Event Camera Motion Estimation
The practical validity of our approach is supported by a highly successful application to AGV motion estimation with a downward facing event camera, a challenging scenario in which the sensor experiences fronto-parallel motion in front of noisy, fast moving textures.
DEVO: Depth-Event Camera Visual Odometry in Challenging Conditions
We present a novel real-time visual odometry framework for a stereo setup of a depth and high-resolution event camera.
Accurate calibration of multi-perspective cameras from a generalization of the hand-eye constraint
Multi-perspective cameras are quickly gaining importance in many applications such as smart vehicles and virtual or augmented reality.
Dynamic Event Camera Calibration
Camera calibration is an important prerequisite towards the solution of 3D computer vision problems.
Visual Odometry with an Event Camera Using Continuous Ray Warping and Volumetric Contrast Maximization
We present a new solution to tracking and mapping with an event camera.
Asymptotic profile of a two-dimensional chemotaxis--Navier--Stokes system with singular sensitivity and logistic source
The chemotaxis--Navier--Stokes system \begin{equation*}\label{0. 1} \left\{\begin{array}{ll} n_t+u\cdot \nabla n=\triangle n-\chi\nabla\cdotp \left(\displaystyle\frac n {c}\nabla c\right)+n(r-\mu n), c_t+u\cdot \nabla c=\triangle c-nc, u_t+ (u\cdot \nabla) u=\Delta u+\nabla P+n\nabla\phi, \nabla\cdot u=0, \end{array}\right.
Analysis of PDEs 35K55, 35Q30, 35B40, 35Q92, 76D05, 92C17
