network, we introduce multi‐frame laser point cloud information through the designed Multi‐Frame Feature Fusion (MFFF) module to compensate for the data sparsity from using a single‐frame laser point cloud, aiming to improve the accuracy, continuity, and stability of the lane detection ...
5 and inspired by window attention from the LiDAR 3D detection method [24]. Formally, we represent a 2D BeV point (x, y) at current time t0 already processed by our model as a query Qt0,x,y. Unlike more traditional approaches, the module is set with a spatiotemporal win- dow W...
单位：ADM AI出版：ArxivSPG-3DLane题目：Sparse Point Guided 3D Lane Detection名称：稀疏点引导 3D 车道检测论文：https://ieeexplore.ieee.org/document/10376563代码：单位：北京理工大学、元戎启行出版：ICCV 202316.SparseBEV/鸟瞰图SparseBEV题目：SparseBEV: High-Performance Sparse 3D Object Detection from ...
单位：ADM AI出版：ArxivSPG-3DLane题目：Sparse Point Guided 3D Lane Detection名称：稀疏点引导 3D 车道检测论文：https://ieeexplore.ieee.org/document/10376563代码：单位：北京理工大学、元戎启行出版：ICCV 202316.SparseBEV/鸟瞰图SparseBEV题目：SparseBEV: High-Performance Sparse 3D Object Detection from ...