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Deep SCNN-based Real-time Object Detection for Self-driving Vehicles
  Using LiDAR Temporal Data

Deep SCNN-based Real-time Object Detection for Self-driving Vehicles Using LiDAR Temporal Data

17 December 2019
Shibo Zhou
Ying Chen
Xiaohua Li
A. Sanyal
    3DPC
ArXivPDFHTML

Papers citing "Deep SCNN-based Real-time Object Detection for Self-driving Vehicles Using LiDAR Temporal Data"

4 / 4 papers shown
Title
Integrate-and-fire circuit for converting analog signals to spikes using
  phase encoding
Integrate-and-fire circuit for converting analog signals to spikes using phase encoding
Javier Lopez-Randulfe
Nico Reeb
Alois Knoll
16
2
0
03 Oct 2023
Accurate online training of dynamical spiking neural networks through
  Forward Propagation Through Time
Accurate online training of dynamical spiking neural networks through Forward Propagation Through Time
Bojian Yin
Federico Corradi
S. Bohté
30
61
0
20 Dec 2021
DVS-Attacks: Adversarial Attacks on Dynamic Vision Sensors for Spiking
  Neural Networks
DVS-Attacks: Adversarial Attacks on Dynamic Vision Sensors for Spiking Neural Networks
Alberto Marchisio
Giacomo Pira
Maurizio Martina
Guido Masera
Muhammad Shafique
AAML
28
30
0
01 Jul 2021
Vote3Deep: Fast Object Detection in 3D Point Clouds Using Efficient
  Convolutional Neural Networks
Vote3Deep: Fast Object Detection in 3D Point Clouds Using Efficient Convolutional Neural Networks
Martin Engelcke
Dushyant Rao
Dominic Zeng Wang
Chi Hay Tong
Ingmar Posner
3DPC
192
521
0
21 Sep 2016
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