Robust semantic segmentation in adverse weather conditions by means of sensor data fusion
A Pfeuffer, K Dietmayer - 2019 22th International Conference on …, 2019 - ieeexplore.ieee.org
A robust and reliable semantic segmentation in adverse weather conditions is very important
for autonomous cars, but most state-of-the-art approaches only achieve high accuracy rates …
for autonomous cars, but most state-of-the-art approaches only achieve high accuracy rates …
Employing multimodal co-learning to evaluate the robustness of sensor fusion for industry 5.0 tasks
Industry 5.0 focuses on collaboration between humans and machines, demanding
robustness and efficiency and the accuracy of intelligent and innovative components used …
robustness and efficiency and the accuracy of intelligent and innovative components used …
Fog classification by their droplet size distributions: Application to the characterization of Cerema's platform
P Duthon, M Colomb, F Bernardin - Atmosphere, 2020 - mdpi.com
Fog is one of major challenges for transportation systems. The automation of the latter is
based on perception sensors that can be disrupted by atmospheric conditions. As fog …
based on perception sensors that can be disrupted by atmospheric conditions. As fog …
On robustness of multi-modal fusion—Robotics perspective
The efficient multi-modal fusion of data streams from different sensors is a crucial ability that
a robotic perception system should exhibit to ensure robustness against disturbances …
a robotic perception system should exhibit to ensure robustness against disturbances …
Informative data selection with uncertainty for multimodal object detection
Noise has always been nonnegligible trouble in object detection by creating confusion in
model reasoning, thereby reducing the informativeness of the data. It can lead to inaccurate …
model reasoning, thereby reducing the informativeness of the data. It can lead to inaccurate …
DENSE: Environment perception in bad weather—First results
This paper presents the first results of the publicly funded ECSEL project DENSE (A d verse
we ather en vironmental s ensing syst em). DENSE seeks to eliminate one of the most …
we ather en vironmental s ensing syst em). DENSE seeks to eliminate one of the most …
A collision relationship-based driving behavior decision-making method for an intelligent land vehicle at a disorderly intersection via DRQN
L Yu, S Huo, K Li, Y Wei - Sensors, 2022 - mdpi.com
An intelligent land vehicle utilizes onboard sensors to acquire observed states at a
disorderly intersection. However, partial observation of the environment occurs due to …
disorderly intersection. However, partial observation of the environment occurs due to …
Cooperative semantic segmentation and image restoration in adverse environmental conditions
Most state-of-the-art semantic segmentation approaches only achieve high accuracy in good
conditions. In practically-common but less-discussed adverse environmental conditions …
conditions. In practically-common but less-discussed adverse environmental conditions …
Bewertung von Fahrerassistenzsystemen im Umfeld des szenariobasierten Testens
C King - 2023 - publikationen.bibliothek.kit.edu
Durch die steigende Automatisierung von Fahrerassistenzsystemen wird die Fahraufgabe
zunehmend vom Fahrer auf das Fahrzeug übertragen. Das szenariobasierte Testen ist …
zunehmend vom Fahrer auf das Fahrzeug übertragen. Das szenariobasierte Testen ist …
Trilateral convolutional neural network for 3D shape reconstruction of objects from a single depth view
In this study, the authors propose a novel three‐dimensional (3D) convolutional neural
network for shape reconstruction via a trilateral convolutional neural network (Tri‐CNN) from …
network for shape reconstruction via a trilateral convolutional neural network (Tri‐CNN) from …