自動運転のためのパノプティック知覚：サーベイ
Panoptic Perception for Autonomous Driving: A Survey
自動運転における複数の知覚タスクを統合するパノプティック知覚のモデル・性能・課題を整理したサーベイ論文。
分類: cs.RO, cs.CV, cs.LG
原文アブストラクト
Panoptic perception represents a forefront advancement in autonomous driving technology, unifying multiple perception tasks into a singular, cohesive framework to facilitate a thorough understanding of the vehicle's surroundings. This survey reviews typical panoptic perception models for their unique inputs and architectures and compares them to performance, responsiveness, and resource utilization. It also delves into the prevailing challenges faced in panoptic perception and explores potential trajectories for future research. Our goal is to furnish researchers in autonomous driving with a detailed synopsis of panoptic perception, positioning this survey as a pivotal reference in the ever-evolving landscape of autonomous driving technologies.