4 citations · 4 across the 2 of their papers we have counts for
3 papers
cs.DC2022
Towards Efficient Architecture and Algorithms for Sensor Fusion
Zhendong Wang, Xiaoming Zeng, Shuaiwen Leon Song +1
The safety of an automated vehicle hinges crucially upon the accuracy of perception and decision-making latency. Under these stringent requirements, future automated cars are usual…
cs.CV2022★ 4 cited
Enabling Efficient Deep Convolutional Neural Network-based Sensor Fusion for Autonomous Driving
Xiaoming Zeng, Zhendong Wang, Yang Hu
Autonomous driving demands accurate perception and safe decision-making. To achieve this, automated vehicles are now equipped with multiple sensors (e.g., camera, Lidar, etc.), ena…
cs.DC2020
Co-Optimizing Performance and Memory FootprintVia Integrated CPU/GPU Memory Management, anImplementation on Autonomous Driving Platform
Soroush Bateni, Zhendong Wang, Yuankun Zhu +2
Cutting-edge embedded system applications, such as self-driving cars and unmanned drone software, are reliant on integrated CPU/GPU platforms for their DNNs-driven workload, such a…