SPADE: Sparse Pillar-based 3D Object Detection Accelerator for Autonomous Driving

3D object detection using point cloud (PC) data is essential for perception pipelines of autonomous driving, where efficient encoding is key to meeting stringent resource and latency requirements. PointPillars, a widely adopted bird's-eye view (BEV) encoding, aggregates 3D point cloud data into...

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Bibliographic Details

Published in:	Proceedings - International Symposium on High-Performance Computer Architecture pp. 454 - 467
Main Authors:	Lee, Minjae, Park, Seongmin, Kim, Hyungmin, Yoon, Minyong, Lee, Janghwan, Choi, Jun Won, Kim, Nam Sung, Kang, Mingu, Choi, Jungwook
Format:	Conference Proceeding
Language:	English
Published:	IEEE 02.03.2024
Subjects:	Convolution Encoding Energy conservation Heuristic algorithms Object detection Three-dimensional displays Vectors
ISSN:	2378-203X
Online Access:	Get full text
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