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

17 Dec 2019 Shibo Zhou Ying Chen Xiaohua LI Arindam Sanyal

Real-time accurate detection of three-dimensional (3D) objects is a fundamental necessity for self-driving vehicles. Most existing computer vision approaches are based on convolutional neural networks (CNNs)... (read more)

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Methods used in the Paper


METHOD TYPE
Average Pooling
Pooling Operations
Global Average Pooling
Pooling Operations
1x1 Convolution
Convolutions
Batch Normalization
Normalization
Max Pooling
Pooling Operations
Softmax
Output Functions
Convolution
Convolutions
Darknet-19
Convolutional Neural Networks
YOLOv2
Object Detection Models