4 papers
Robust PnP on a Neuromorphic Processor for Object Pose Estimation
Tam Ngoc-Bang Nguyen, Mohsi Jawaid, Tat-Jun Chin
Neuromorphic computing is gaining attention in robotic perception due to its higher energy efficiency. While neural network-based methods can more readily exploit the distributed a…
Event-driven Robust Fitting on Neuromorphic Hardware
Tam Ngoc-Bang Nguyen, Anh-Dzung Doan, Zhipeng Cai +1
Robust fitting of geometric models is a fundamental task in many computer vision pipelines. Numerous innovations have been produced on the topic, from improving the efficiency and…
Finding Outliers in a Haystack: Anomaly Detection for Large Pointcloud Scenes
Ryan Faulkner, Luke Haub, Simon Ratcliffe +1
LiDAR scanning in outdoor scenes acquires accurate distance measurements over wide areas, producing large-scale point clouds. Application examples for this data include robotics, a…
Simultaneous Diffusion Sampling for Conditional LiDAR Generation
Ryan Faulkner, Luke Haub, Simon Ratcliffe +3
By enabling capturing of 3D point clouds that reflect the geometry of the immediate environment, LiDAR has emerged as a primary sensor for autonomous systems. If a LiDAR scan is to…