2 citations · 2 across the 1 of their papers we have counts for
4 papers
SuperEIO: Self-Supervised Event Feature Learning for Event Inertial Odometry
Peiyu Chen, Fuling Lin, Weipeng Guan +1
Event cameras asynchronously output low-latency event streams, promising for state estimation in high-speed motion and challenging lighting conditions. As opposed to frame-based ca…
DEIO: Deep Event Inertial Odometry
Weipeng Guan, Fuling Lin, Peiyu Chen +1
Event cameras show great potential for visual odometry (VO) in handling challenging situations, such as fast motion and high dynamic range. Despite this promise, the sparse and mot…
EVI-SAM: Robust, Real-time, Tightly-coupled Event-Visual-Inertial State Estimation and 3D Dense Mapping
Weipeng Guan, Peiyu Chen, Huibin Zhao +2
Event cameras are bio-inspired, motion-activated sensors that demonstrate substantial potential in handling challenging situations, such as motion blur and high-dynamic range. In t…
ECMD: An Event-Centric Multisensory Driving Dataset for SLAM
Peiyu Chen, Weipeng Guan, Feng Huang +4
Leveraging multiple sensors enhances complex environmental perception and increases resilience to varying luminance conditions and high-speed motion patterns, achieving precise loc…