7 papers
STAGE: STyle-controllable Action GEneration for personalized autonomous driving
Zihao Liu, Xing Liu, Yizhai Zhang +1
Driving style refers to the behavioral preferences that drivers maintain during driving, shaped by their diverse experiences, habits, and needs, and is typically reflected in varyi…
Continuous Gaussian Process Pre-Optimization for Asynchronous Event-Inertial Odometry
Zhixiang Wang, Xudong Li, Yizhai Zhang +2
Event cameras, as bio-inspired sensors, are asynchronously triggered with high-temporal resolution compared to intensity cameras. Recent work has focused on fusing the event measur…
AsynEIO: Asynchronous Monocular Event-Inertial Odometry Using Gaussian Process Regression
Zhixiang Wang, Xudong Li, Yizhai Zhang +2
Event cameras, when combined with inertial sensors, show significant potential for motion estimation in challenging scenarios, such as high-speed maneuvers and low-light environmen…
Curiosity-Diffuser: Curiosity Guide Diffusion Models for Reliability
Zihao Liu, Xing Liu, Yuhang Dong +4
One of the bottlenecks in robotic intelligence is the instability of neural network models. This leads to risks when applying intelligence in the physical world. Specifically, imit…
AsynEVO: Asynchronous Event-Driven Visual Odometry for Pure Event Streams
Zhixiang Wang, Xudong Li, Yizhai Zhang +1
Event cameras are bio-inspired vision sensors that asynchronously measure per-pixel brightness changes.The high-temporal resolution and asynchronicity of event cameras offer great…
Asynchronous Event-Inertial Odometry using a Unified Gaussian Process Regression Framework
Xudong Li, Zhixiang Wang, Zihao Liu +4
Recent works have combined monocular event camera and inertial measurement unit to estimate the trajectory. However, the asynchronicity of event cameras brings a great chal…