Add to ORKGIn recent years, Deep Learning (DL) showed new top performances in almost all computer vision tasks that are important for automotive and robotic applications. In these applications both space and power are limited resources. Therefore, there is a need to apply DL approaches on a small and power ecient device, like the NVIDIA Jetson TX1 with a powerful GPU onboard. In this paper, we analyze the Jetson's suitability by benchmarking the run-time of DL operations in comparison to a high performance GPU. Exemplary, we port a topperforming DL-based person detector to this platform. We explain the steps necessary to signicantly speed up this approach on the device
In recent years, deep learning (DL) and especially Convolutional Neural Networks (CNNs) have become ...
In recent years, deep learning (DL) and especially Convolutional Neural Networks (CNNs) have become ...
With the rapid proliferation of computing systems and the internet, the amount of data generated has...
In recent years, Deep Learning (DL) showed new top performances in almost all computer vision tasks ...
In recent years, Deep Learning (DL) showed new top performances in almost all computer vision tasks ...
Design of hardware accelerators for neural network (NN) applications involves walking a tight rope a...
Computing at the edge offers intriguing possibilities for the development of autonomy and artificial...
Deep learning algorithms are known to demand significant computing horsepower, in particular when it...
Deep learning algorithms are known to demand significant computing horsepower, in particular when it...
The success of deep neural networks (DNNs) is attributable to three factors: increased compute capac...
The success of deep neural networks (DNNs) is attributable to three factors: increased compute capac...
These days, working with deep neural networks goes hand in hand with the use of GPUs. Once a deep ne...
Pedestrian detection is a popular research topic due to its paramount importance for a number of app...
Purpose: Visual perception enables robots to perceive the environment. Visual data is processed usin...
These days, working with deep neural networks goes hand in hand with the use of GPUs. Once a deep n...
In recent years, deep learning (DL) and especially Convolutional Neural Networks (CNNs) have become ...
In recent years, deep learning (DL) and especially Convolutional Neural Networks (CNNs) have become ...
With the rapid proliferation of computing systems and the internet, the amount of data generated has...
In recent years, Deep Learning (DL) showed new top performances in almost all computer vision tasks ...
In recent years, Deep Learning (DL) showed new top performances in almost all computer vision tasks ...
Design of hardware accelerators for neural network (NN) applications involves walking a tight rope a...
Computing at the edge offers intriguing possibilities for the development of autonomy and artificial...
Deep learning algorithms are known to demand significant computing horsepower, in particular when it...
Deep learning algorithms are known to demand significant computing horsepower, in particular when it...
The success of deep neural networks (DNNs) is attributable to three factors: increased compute capac...
The success of deep neural networks (DNNs) is attributable to three factors: increased compute capac...
These days, working with deep neural networks goes hand in hand with the use of GPUs. Once a deep ne...
Pedestrian detection is a popular research topic due to its paramount importance for a number of app...
Purpose: Visual perception enables robots to perceive the environment. Visual data is processed usin...
These days, working with deep neural networks goes hand in hand with the use of GPUs. Once a deep n...
In recent years, deep learning (DL) and especially Convolutional Neural Networks (CNNs) have become ...
In recent years, deep learning (DL) and especially Convolutional Neural Networks (CNNs) have become ...
With the rapid proliferation of computing systems and the internet, the amount of data generated has...