RTFNet: RGB-thermal fusion network for semantic segmentation of urban scenes
Semantic segmentation is a fundamental capability for autonomous vehicles. With the
advancements of deep learning technologies, many effective semantic segmentation …
advancements of deep learning technologies, many effective semantic segmentation …
A review of terrain detection systems for applications in locomotion assistance
AHA Al-dabbagh, R Ronsse - Robotics and Autonomous Systems, 2020 - Elsevier
Terrain detection systems have been developed for a large body of applications. For
instance, a bionic leg prosthesis would have to adapt its behavior as a function of the terrain …
instance, a bionic leg prosthesis would have to adapt its behavior as a function of the terrain …
A review of the evolution of scientific literature on technology-assisted approaches using RGB-D sensors for musculoskeletal health monitoring
The human musculoskeletal (MSK) system (also known as the locomotor system) provides
strength and assistance to perform functional tasks and daily life activities. The MSK health …
strength and assistance to perform functional tasks and daily life activities. The MSK health …
Deep ConvLSTM with self-attention for human activity decoding using wearable sensors
Decoding human activity accurately from wearable sensors can aid in applications related to
healthcare and context awareness. The present approaches in this domain use recurrent …
healthcare and context awareness. The present approaches in this domain use recurrent …
Environmental context prediction for lower limb prostheses with uncertainty quantification
Reliable environmental context prediction is critical for wearable robots (eg, prostheses and
exoskeletons) to assist terrain-adaptive locomotion. This article proposed a novel vision …
exoskeletons) to assist terrain-adaptive locomotion. This article proposed a novel vision …
Improving imu-based prediction of lower limb kinematics in natural environments using egocentric optical flow
A Sharma, E Rombokas - IEEE Transactions on Neural …, 2022 - ieeexplore.ieee.org
We seek to predict knee and ankle motion using wearable sensors. These predictions could
serve as target trajectories for a lower limb prosthesis. In this manuscript, we investigate the …
serve as target trajectories for a lower limb prosthesis. In this manuscript, we investigate the …
Efficient environmental context prediction for lower limb prostheses
B Zhong, RL Da Silva, M Tran… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Environmental context prediction is important for wearable robotic applications, such as
terrain-adaptive control. System efficiency is critical for wearable robots, in which system …
terrain-adaptive control. System efficiency is critical for wearable robots, in which system …
Depth vision-based terrain detection algorithm during human locomotion
AHA Al-Dabbagh, R Ronsse - IEEE Transactions on Medical …, 2022 - ieeexplore.ieee.org
In locomotion tasks like walking or stair ascending, leg joints produce mechanical energy
with task-specific kinematic and kinetic patterns. Consequently, locomotion assistive devices …
with task-specific kinematic and kinetic patterns. Consequently, locomotion assistive devices …
Active perception for foreground segmentation: An RGB-D data-based background modeling method
Foreground moving object segmentation is a fundamental problem in many computer vision
applications. As a solution for foreground segmentation, background modeling has been …
applications. As a solution for foreground segmentation, background modeling has been …
Foot placement prediction for assistive walking by fusing sequential 3D gaze and environmental context
Predicting the locomotion intent of humans is important for controlling assistive robots.
Previous studies have investigated assistive walking on structured terrains, but only a few …
Previous studies have investigated assistive walking on structured terrains, but only a few …