Monocular BEV perception of road scenes via front-to-top view projection

• Main Authors: LIU, Wenxi, LI, Qi, YANG, Weixiang, CAI, Jiaxin, YU, Yuanhong, MA, Yuexin, HE, Shengfeng, PAN, Jia
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2024
• Subjects: Autonomous driving; BEV perception; Estimation; Feature extraction; Layout; Roads; segmentation; Task analysis; Three-dimensional displays; Transformers; Artificial Intelligence and Robotics; Numerical Analysis and Scientific Computing
• Online Access: https://ink.library.smu.edu.sg/sis_research/8727; https://ink.library.smu.edu.sg/context/sis_research/article/9730/viewcontent/mathematics_12_00916_pvoa_cc_by.pdf
• Institution: Singapore Management University

HD map reconstruction is crucial for autonomous driving. LiDAR-based methods are limited due to expensive sensors and time-consuming computation. Camera-based methods usually need to perform road segmentation and view transformation separately, which often causes distortion and missing content. To p...