Collaborative perception in autonomous driving: Methods, datasets, and challenges

Y Han, H Zhang, H Li, Y Jin, C Lang… - IEEE Intelligent …, 2023 - ieeexplore.ieee.org
Collaborative perception is essential to address occlusion and sensor failure issues in
autonomous driving. In recent years, theoretical and experimental investigations of novel …

A survey and tutorial on network optimization for intelligent transport system using the internet of vehicles

SK Panigrahy, H Emany - Sensors, 2023 - mdpi.com
The Internet of Things (IoT) has risen from ubiquitous computing to the Internet itself. Internet
of vehicles (IoV) is the next emerging trend in IoT. We can build intelligent transportation …

A review of vehicle group intelligence in a connected environment

C Wu, Z Cai, Y He, X Lu - IEEE Transactions on Intelligent …, 2023 - ieeexplore.ieee.org
Vehicle Group Intelligence (VGI) represents a significant research domain that contributes to
the advancement of intelligent transportation systems. This study employs bibliometric …

A trustworthy Internet of Vehicles: The DAO to safe, secure and collaborative autonomous driving

J Yang, Q Ni, G Luo, Q Cheng… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The potential of the Internet of Vehicles (IoV) to reduce on-board system costs in
autonomous vehicles through shared intelligence is considerable. However, it still faces …

Object detection based on roadside LiDAR for cooperative driving automation: A review

P Sun, C Sun, R Wang, X Zhao - Sensors, 2022 - mdpi.com
Light Detection and Ranging (LiDAR) technology has the advantages of high detection
accuracy, a wide range of perception, and not being affected by light. The 3D LiDAR is …

Toward collaborative intelligence in IoV systems: Recent advances and open issues

S Danba, J Bao, G Han, S Guleng, C Wu - Sensors, 2022 - mdpi.com
Internet of Vehicles (IoV) technology has been attracting great interest from both academia
and industry due to its huge potential impact on improving driving experiences and enabling …

Toward ensuring safety for autonomous driving perception: standardization progress, research advances, and perspectives

C Sun, R Zhang, Y Lu, Y Cui, Z Deng… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Perception systems play a crucial role in autonomous driving by reading the sensory data
and providing meaningful interpretation of the operating environment for decision-making …

Car-following model based on spatial expectation effect in connected vehicle environment: modeling, stability analysis and identification

J Zhang, Q Gao, J Tian, F Cui, T Wang - Physica A: Statistical Mechanics …, 2024 - Elsevier
In driving situations, if drivers have advanced access to downstream traffic conditions ahead
of time, they may modify their driving behavior accordingly. This proactive approach can …

Collaborative Perception—The Missing Piece in Realizing Fully Autonomous Driving

S Malik, MJ Khan, MA Khan, H El-Sayed - Sensors, 2023 - mdpi.com
Environment perception plays a crucial role in enabling collaborative driving automation,
which is considered to be the ground-breaking solution to tackling the safety, mobility, and …

Zero-knowledge proof of traffic: A deterministic and privacy-preserving cross verification mechanism for cooperative perception data

Y Tao, E Javanmardi, P Lin, J Nakazato, Y Jiang… - IEEE …, 2023 - ieeexplore.ieee.org
Cooperative perception is crucial for connected automated vehicles in intelligent
transportation systems (ITSs); however, ensuring the authenticity of perception data remains …