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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Vydané v:	Proceedings - International Symposium on High-Performance Computer Architecture s. 454 - 467
Hlavní autori:	Lee, Minjae, Park, Seongmin, Kim, Hyungmin, Yoon, Minyong, Lee, Janghwan, Choi, Jun Won, Kim, Nam Sung, Kang, Mingu, Choi, Jungwook
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 02.03.2024
Predmet:	Convolution Encoding Energy conservation Heuristic algorithms Object detection Three-dimensional displays Vectors
ISSN:	2378-203X
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