Sign Up to like & get
recommendations!
0
Published in 2019 at "IET Intelligent Transport Systems"
DOI: 10.1049/iet-its.2018.5607
Abstract: Autonomous vehicles are limited in their perception capabilities to the field of view of their onboard sensors. Additionally, the environment may not be completely perceivable due to the presence of occlusions and blind spots. To…
read more here.
Keywords:
vehicle;
field view;
cooperative perception;
robot testbed ... See more keywords
Sign Up to like & get
recommendations!
0
Published in 2024 at "IEEE Access"
DOI: 10.1109/access.2024.3368404
Abstract: Perception plays a vital role in autonomous driving as it serves as a prerequisite for downstream planning and decision tasks. Existing research has mainly focused on developing vehicle-side perception models using a single type of…
read more here.
Keywords:
perception;
vehicle;
fusion;
vit fusenet ... See more keywords
Sign Up to like & get
recommendations!
1
Published in 2022 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2022.3179739
Abstract: Cooperative perception is an effective way for connected autonomous vehicles to extend sensing range, improve detection precision, and thus enhance perception ability by combining their own sensing information with that of other vehicles. The existing…
read more here.
Keywords:
autonomous vehicles;
multilevel cooperative;
detection precision;
connected autonomous ... See more keywords
Sign Up to like & get
recommendations!
0
Published in 2025 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2025.3560738
Abstract: Connected autonomous driving and vehicle-to-everything (V2X) technology brings new opportunities for precise perception in occluded and sight-limited environments. The emergence of cooperative perception via V2X interaction positively impacts the safe and efficient driving of connected…
read more here.
Keywords:
v2x interaction;
connected autonomous;
perception;
cooperative perception ... See more keywords
Photo from wikipedia
Sign Up to like & get
recommendations!
0
Published in 2021 at "IEEE Systems Journal"
DOI: 10.1109/jsyst.2020.3007202
Abstract: Augmented vehicular reality (AVR) is one of the key technologies to realize intelligent transportation in the future, which can significantly improve traffic safety and transportation efficiency of autonomous driving. However, available computation and spectrum resources…
read more here.
Keywords:
augmented vehicular;
cooperative perception;
vehicular reality;
autonomous driving ... See more keywords
Sign Up to like & get
recommendations!
1
Published in 2020 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2020.2965876
Abstract: This article addresses an Active cooperative perception problem for networked robots systems. Given a team of networked robots, the goal is finding a target using their inherent uncertain sensor data. The article proposes a particle…
read more here.
Keywords:
cooperative perception;
particle filter;
perception;
based particle ... See more keywords
Sign Up to like & get
recommendations!
0
Published in 2024 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2024.3457374
Abstract: Cooperative perception (CP) is essential to enhance the efficiency and safety of future transportation systems, requiring extensive data sharing among vehicles on the road, which raises significant privacy concerns. Federated learning offers a promising solution…
read more here.
Keywords:
perception;
cooperative perception;
federated learning;
learning framework ... See more keywords
Sign Up to like & get
recommendations!
0
Published in 2024 at "IEEE Network"
DOI: 10.1109/mnet.2024.3354209
Abstract: Cooperative perception (CP) is a key approach to ensuring reliable situation awareness of connected and autonomous vehicles (CAVs). In this article, we discuss the key challenges in terms of scalability, dynamics, and performance uncertainty for…
read more here.
Keywords:
model driven;
data model;
cooperative perception;
scalable dynamic ... See more keywords
Sign Up to like & get
recommendations!
1
Published in 2022 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2022.3153815
Abstract: The idea of cooperation has been introduced to self-driving cars about a decade ago with the aim to reduce the occlusion caused by other users or the scene. More recently, the research efforts turned toward…
read more here.
Keywords:
automotive context;
survey cooperative;
perception automotive;
cooperative perception ... See more keywords
Sign Up to like & get
recommendations!
0
Published in 2025 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2025.3546980
Abstract: Cooperative perception, using vehicle-to-everything (V2X) technologies for perceptual data sharing between autonomous vehicles (AVs) and intelligent infrastructure, is considered a solution to many single-agent perception challenges. Early fusion, a data fusion scheme for the cooperative…
read more here.
Keywords:
infrastructure;
field based;
perception;
vehicle ... See more keywords
Sign Up to like & get
recommendations!
0
Published in 2025 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2025.3626365
Abstract: Cooperative perception has significant potential to enhance perception performance compared to single-agent systems by integrating information from multiple agents through vehicle-to-everything (V2X) communication. However, several challenges hinder the attainment of high performance in cooperative perception,…
read more here.
Keywords:
perception;
multi;
cooperative perception;
temporal drift ... See more keywords