5 citations · 8 across the 4 of their papers we have counts for
5 papers
DepthNet: Real-Time LiDAR Point Cloud Depth Completion for Autonomous Vehicles
Lin Bai, Yiming Zhao, Mahdi Elhousni +1
Autonomous vehicles rely heavily on sensors such as camera and LiDAR, which provide real-time information about their surroundings for the tasks of perception, planning and control…
A Unified Hardware Architecture for Convolutions and Deconvolutions in CNN
Lin Bai, Yecheng Lyu, Xinming Huang
In this paper, a scalable neural network hardware architecture for image segmentation is proposed. By sharing the same computing resources, both convolution and deconvolution opera…
PointNet on FPGA for Real-Time LiDAR Point Cloud Processing
Lin Bai, Yecheng Lyu, Xin Xu +1
LiDAR sensors have been widely used in many autonomous vehicle modalities, such as perception, mapping, and localization. This paper presents an FPGA-based deep learning platform f…
An Interactive LiDAR to Camera Calibration
Yecheng Lyu, Lin Bai, Mahdi Elhousni +1
Recent progress in the automated driving system (ADS) and advanced driver assistant system (ADAS) has shown that the combined use of 3D light detection and ranging (LiDAR) and the…
Real-Time Road Segmentation Using LiDAR Data Processing on an FPGA
Yecheng Lyu, Lin Bai, Xinming Huang
This paper presents the FPGA design of a convolutional neural network (CNN) based road segmentation algorithm for real-time processing of LiDAR data. For autonomous vehicles, it is…