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Panoptic Perception for Autonomous Driving: A Survey
August 27, 2024 ยท The Cartographer ยท ๐ arXiv.org
"No code URL or promise found in abstract"
"Title-pattern auto-detect: Panoptic Perception for Autonomous Driving: A Survey"
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Authors
Yunge Li, Lanyu Xu
arXiv ID
2408.15388
Category
cs.RO: Robotics
Cross-listed
cs.CV,
cs.LG
Citations
4
Venue
arXiv.org
Last Checked
4 days ago
Abstract
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.
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