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BezierFormer: A Unified Architecture for 2D and 3D Lane Detection
B\'{e}zierFormer formulate queries as B\'{e}zier control points and incorporate a novel B\'{e}zier curve attention mechanism.
A survey on deep learning approaches for data integration in autonomous driving system
The perception module of self-driving vehicles relies on a multi-sensor system to understand its environment.
NeMO: Neural Map Growing System for Spatiotemporal Fusion in Bird's-Eye-View and BDD-Map Benchmark
We also provide a new scene-level BEV map evaluation setting along with the corresponding baseline for a more comprehensive comparison.
RIO: Rotation-equivariance supervised learning of robust inertial odometry
This paper introduces rotation-equivariance as a self-supervisor to train inertial odometry models.
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