This paper investigates the problem of inertial navigation system (INS)
...
As satellites become smaller, the ability to maintain stable pointing
de...
Event cameras are ideally suited to capture High Dynamic Range (HDR) vis...
Event-based cameras have become increasingly popular for tracking fast-m...
The current transformation towards smart manufacturing has led to a grow...
Stochastic filters for on-line state estimation are a core technology fo...
Event cameras are bio-inspired dynamic vision sensors that respond to ch...
High performance trajectory tracking control of quadrotor vehicles is an...
Event cameras are bio-inspired sensors that capture per-pixel asynchrono...
Visual Inertial Odometry (VIO) is the problem of estimating a robot's
tr...
Inertial Navigation Systems (INS) are a key technology for autonomous
ve...
Stereo camera systems play an important role in robotics applications to...
Collaborative Localisation has been studied extensively in recent years ...
Visual Inertial Odometry (VIO) is of great interest due the ubiquity of
...
Object pose estimation from a single RGB image is a challenging problem ...
Event cameras output asynchronous events to represent intensity changes ...
We present an Asynchronous Kalman Filter (AKF) to reconstruct High Dynam...
Accurate localisation of unmanned aerial vehicles is vital for the next
...
Shonan Rotation Averaging is a fast, simple, and elegant rotation averag...
The problem of tracking self-motion as well as motion of objects in the ...
Visual Simultaneous Localisation and Mapping (VSLAM) is a key enabling
t...
We propose a closed-loop, multi-instance control algorithm for visually
...
The scene rigidity assumption, also known as the static world assumption...
Event cameras are paradigm-shifting novel sensors that report asynchrono...
The static world assumption is standard in most simultaneous localisatio...
Event cameras are novel, bio-inspired visual sensors, whose pixels outpu...
This paper builds on recent work on Simultaneous Localisation and Mappin...
Spatial convolution is arguably the most fundamental of 2D image process...
Event cameras provide asynchronous, data-driven measurements of local
te...
Accurate estimation of the environment structure simultaneously with the...
Current self-driving car systems operate well in sunny weather but strug...
This paper presents a new algorithm for online estimation of a sequence ...