Dripe: A dataset for human pose estimation in real-world driving settings
R Guesdon, C Crispim-Junior… - Proceedings of the …, 2021 - openaccess.thecvf.com
The task of 2D human pose estimation has known a significant gain of performance with the
advent of deep learning. This task aims to estimate the body keypoints of people in an image …
advent of deep learning. This task aims to estimate the body keypoints of people in an image …
Ticam: A time-of-flight in-car cabin monitoring dataset
JS Katrolia, B Mirbach, A El-Sherif, H Feld… - arXiv preprint arXiv …, 2021 - arxiv.org
We present TICaM, a Time-of-flight In-car Cabin Monitoring dataset for vehicle interior
monitoring using a single wide-angle depth camera. Our dataset addresses the deficiencies …
monitoring using a single wide-angle depth camera. Our dataset addresses the deficiencies …
To drive or to be driven? The impact of autopilot, navigation system, and printed maps on driver's cognitive workload and spatial knowledge
The technical advances in navigation systems should enhance the driving experience,
supporting drivers' spatial decision making and learning in less familiar or unfamiliar …
supporting drivers' spatial decision making and learning in less familiar or unfamiliar …
Multitask network for joint object detection, semantic segmentation and human pose estimation in vehicle occupancy monitoring
N Ebert, P Mangat… - 2022 IEEE Intelligent …, 2022 - ieeexplore.ieee.org
In order to ensure safe autonomous driving, precise information about the conditions in and
around the vehicle must be available. Accordingly, the monitoring of occupants and objects …
around the vehicle must be available. Accordingly, the monitoring of occupants and objects …
[PDF][PDF] An Adversarial Training based Framework for Depth Domain Adaptation.
In absence of sufficient labeled training data, it is common practice to resort to synthetic data
with readily available annotations. However, some performance gap still exists between …
with readily available annotations. However, some performance gap still exists between …
Background-foreground segmentation for interior sensing in automotive industry
To ensure safety in automated driving, the correct perception of the situation inside the car is
as important as its environment. Thus, seat occupancy detection and classification of …
as important as its environment. Thus, seat occupancy detection and classification of …
A Pipeline for Creating In-Vehicle Posture Database for Developing Driver Posture Monitoring Systems
Driver posture monitoring is beneficial for identifying driver physical state as well as for
optimizing passive safety systems to mitigate injury outcomes during collisions. In recent …
optimizing passive safety systems to mitigate injury outcomes during collisions. In recent …
Estimation de poses humaines par apprentissage profond: application aux passagers des véhicules autonomes
R Guesdon - 2024 - theses.hal.science
La recherche concernant les voitures autonomes a fortement progressé ces dernières
décennies, en se concentrant particulièrement sur l'analyse de l'environnement extérieur et …
décennies, en se concentrant particulièrement sur l'analyse de l'environnement extérieur et …
[PDF][PDF] Deep Learning-based Head Orientation and Gender Estimation from Face Image
M Selim - 2023 - kluedo.ub.rptu.de
Faces deliver invaluable information about people. Machine-based perception can be of a
great benefit in extracting that underlying information in face images if the problem is …
great benefit in extracting that underlying information in face images if the problem is …
Semantic segmentation in depth data: A comparative evaluation of image and point cloud based methods
The problem of semantic segmentation from depth images can be addressed by segmenting
directly in the image domain or at 3D point cloud level. In this paper, we attempt for the first …
directly in the image domain or at 3D point cloud level. In this paper, we attempt for the first …