5 accepted papers
Finding sets of binary sequences with low auto- and cross-correlation properties is a hard combinatorial optimization problem with numerous applications, including multiple-input-multiple-output (MIMO) radar and global navigation satellite systems (GNSS). The sum of squared correlations, sometimes r…
Despite recent developments in Ultra-wideband (UWB)-based algorithms, notably in relative localization, existing multi-UWB platforms can only test these algorithms on small or static networks. This work proposes a multi-UWB platform using a novel protocol that improves upon prior works and accommoda
Precise relative positioning has numerous applications in collision avoidance, and lane-keeping/lane-changing maneuvers. For such applications, we need sensors that can precisely estimate the relative position. GPS carrier phase measurements can provide high accuracy if unknown cycle ambiguities (in
Reinforcement learning (RL) is capable of sophisticated motion planning and control for robots in uncertain environments. However, state-of-the-art deep RL approaches typically lack safety guarantees, especially when the robot and environment models are unknown. To justify widespread deployment, rob
We propose an image-based cross-view geolocalization method that estimates the global pose of a UAV with the aid of georeferenced satellite imagery. Our method consists of two Siamese neural networks that extract relevant features despite large differences in viewpoints. The input to our method is a…