A survey on optimized implementation of deep learning models on the nvidia jetson platform
S Mittal - Journal of Systems Architecture, 2019 - Elsevier
Abstract Design of hardware accelerators for neural network (NN) applications involves
walking a tight rope amidst the constraints of low-power, high accuracy and throughput …
walking a tight rope amidst the constraints of low-power, high accuracy and throughput …
A survey of deep learning techniques for autonomous driving
The last decade witnessed increasingly rapid progress in self‐driving vehicle technology,
mainly backed up by advances in the area of deep learning and artificial intelligence (AI) …
mainly backed up by advances in the area of deep learning and artificial intelligence (AI) …
From coarse to fine: Robust hierarchical localization at large scale
Robust and accurate visual localization is a fundamental capability for numerous
applications, such as autonomous driving, mobile robotics, or augmented reality. It remains …
applications, such as autonomous driving, mobile robotics, or augmented reality. It remains …
A survey on deep visual place recognition
In recent years visual place recognition (VPR), ie, the problem of recognizing the location of
images, has received considerable attention from multiple research communities, spanning …
images, has received considerable attention from multiple research communities, spanning …
Human poseitioning system (hps): 3d human pose estimation and self-localization in large scenes from body-mounted sensors
Abstract We introduce (HPS) Human POSEitioning System, a method to recover the full 3D
pose of a human registered with a 3D scan of the surrounding environment using wearable …
pose of a human registered with a 3D scan of the surrounding environment using wearable …
Densernet: Weakly supervised visual localization using multi-scale feature aggregation
In this work, we introduce a Denser Feature Network (DenserNet) for visual localization. Our
work provides three principal contributions. First, we develop a convolutional neural network …
work provides three principal contributions. First, we develop a convolutional neural network …
A survey on deep learning for localization and map**: Towards the age of spatial machine intelligence
A review of AI edge devices and lightweight CNN deployment
Abstract Artificial Intelligence of Things (AIoT) which integrates artificial intelligence (AI) and
the Internet of Things (IoT), has attracted increasing attention recently. With the remarkable …
the Internet of Things (IoT), has attracted increasing attention recently. With the remarkable …
Meshloc: Mesh-based visual localization
Visual localization, ie, the problem of camera pose estimation, is a central component of
applications such as autonomous robots and augmented reality systems. A dominant …
applications such as autonomous robots and augmented reality systems. A dominant …
Seqnet: Learning descriptors for sequence-based hierarchical place recognition
Visual Place Recognition (VPR) is the task of matching current visual imagery from a camera
to images stored in a reference map of the environment. While initial VPR systems used …
to images stored in a reference map of the environment. While initial VPR systems used …