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1 Ergebnisse
1
TinyLid: a RISC-V accelerated Neural Network For LiDAR Cont..:
, In:
Proceedings of the 21st ACM International Conference on Computing Frontiers
,
Jati, Grafika
;
Molan, Martin
;
Barchi, Francesco
.. - p. 249-257 , 2024
Link:
https://dl.acm.org/doi/10.1145/3649153.3649201
RT T1
Proceedings of the 21st ACM International Conference on Computing Frontiers
: T1
TinyLid: a RISC-V accelerated Neural Network For LiDAR Contaminant Classification in Autonomous Vehicle
UL https://suche.suub.uni-bremen.de/peid=acm-3649201&Exemplar=1&LAN=DE A1 Jati, Grafika A1 Molan, Martin A1 Barchi, Francesco A1 Bartolini, Andrea A1 Acquaviva, Andrea PB ACM YR 2024 K1 Advanced driver assistance systems (ADAS) K1 GAP8 K1 LiDAR contamination classification K1 LiDAR reliability K1 RISC-V K1 TinyML K1 autonomous vehicle perception systems K1 autonomous vehicle safety K1 Computer systems organization K1 Embedded and cyber-physical systems K1 Sensors and actuators K1 Embedded systems K1 Embedded software K1 Computing methodologies K1 Artificial intelligence K1 Computer vision K1 Computer vision tasks K1 Scene anomaly detection K1 Hardware K1 Communication hardware, interfaces and storage K1 Sensor applications and deployments K1 Image and video acquisition K1 3D imaging K1 Computer vision representations K1 Appearance and texture representations K1 Vision for robotics SP 249 OP 257 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3649153.3649201 DO https://dl.acm.org/doi/10.1145/3649153.3649201 SF ELIB - SuUB Bremen
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