32 citations · 47 across the 18 of their papers we have counts for
19 papers
BezierFormer: A Unified Architecture for 2D and 3D Lane Detection
Zhiwei Dong, Xi Zhu, Xiya Cao +5
Lane detection has made significant progress in recent years, but there is not a unified architecture for its two sub-tasks: 2D lane detection and 3D lane detection. To fill this g…
A survey on deep learning approaches for data integration in autonomous driving system
Xi Zhu, Likang Wang, Caifa Zhou +3
The perception module of self-driving vehicles relies on a multi-sensor system to understand its environment. Recent advancements in deep learning have led to the rapid development…
NeMO: Neural Map Growing System for Spatiotemporal Fusion in Bird's-Eye-View and BDD-Map Benchmark
Xi Zhu, Xiya Cao, Zhiwei Dong +4
Vision-centric Bird's-Eye View (BEV) representation is essential for autonomous driving systems (ADS). Multi-frame temporal fusion which leverages historical information has been d…
RIO: Rotation-equivariance supervised learning of robust inertial odometry
Caifa Zhou, Xiya Cao, Dandan Zeng +1
This paper introduces rotation-equivariance as a self-supervisor to train inertial odometry models. We demonstrate that the self-supervised scheme provides a powerful supervisory s…
Mining geometric constraints from crowd-sourced radio signals and its application to indoor positioning
Caifa Zhou, Zhi Li, Dandan Zeng +1
Crowd-sourcing has become a promising way to build} a feature-based indoor positioning system that has lower labour and time costs. It can make full use of the widely deployed infr…
Learning multiview 3D point cloud registration
Zan Gojcic, Caifa Zhou, Jan D. Wegner +2
We present a novel, end-to-end learnable, multiview 3D point cloud registration algorithm. Registration of multiple scans typically follows a two-stage pipeline: the initial pairwi…