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 …

Anomaly detection against GPS spoofing attacks on connected and autonomous vehicles using learning from demonstration

Z Yang, J Ying, J Shen, Y Feng… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
GPS spoofing attacks pose great challenges to connected vehicle (CVs) safety applications
and localization of autonomous vehicles (AVs). In this paper, we propose to utilize …

Autowarev2x: Reliable v2x communication and collective perception for autonomous driving

Y Asabe, E Javanmardi, J Nakazato… - 2023 IEEE 97th …, 2023 - ieeexplore.ieee.org
For cooperative intelligent transport systems (C-ITS), vehicle-to-everything (V2X)
communication is utilized to allow autonomous vehicles to share critical information with …

Robust roadside perception for autonomous driving: an annotation-free strategy with synthesized data

R Zhang, D Meng, L Bassett, S Shen, Z Zou… - arXiv preprint arXiv …, 2023 - arxiv.org
Recently, with the rapid development in vehicle-to-infrastructure communication
technologies, the infrastructure-based, roadside perception system for cooperative driving …

Learning naturalistic driving environment with statistical realism

X Yan, Z Zou, S Feng, H Zhu, H Sun, HX Liu - Nature communications, 2023 - nature.com
For simulation to be an effective tool for the development and testing of autonomous
vehicles, the simulator must be able to produce realistic safety-critical scenarios with …

Hierarchical Perception Enhancement for Different Levels of Autonomous Driving: A Review

Y Zha, W Shangguan, L Chai, J Chen - IEEE Sensors Journal, 2024 - ieeexplore.ieee.org
High precision, strong reliability, and wide range of perception can provide essential data
support for the safe and efficient driving of autonomous vehicles. Based on the technology …

[PDF][PDF] On data fabrication in collaborative vehicular perception: Attacks and countermeasures

Q Zhang, S Jin, J Sun, X Zhang, R Zhu… - arXiv preprint arXiv …, 2023 - usenix.org
Collaborative perception, which greatly enhances the sensing capability of connected and
autonomous vehicles (CAVs) by incorporating data from external resources, also brings forth …

MSight: An Edge-Cloud Infrastructure-based Perception System for Connected Automated Vehicles

R Zhang, D Meng, S Shen, Z Zou, H Li… - arXiv preprint arXiv …, 2023 - arxiv.org
As vehicular communication and networking technologies continue to advance,
infrastructure-based roadside perception emerges as a pivotal tool for connected automated …

Evaluation of automated driving system safety metrics with logged vehicle trajectory data

X Yan, S Feng, DJ LeBlanc… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Real-time safety metrics are important for automated driving systems (ADS) to assess the
risk of driving situations and assist in decision-making. Although a number of real-time safety …

Enhanced perception for autonomous vehicles at obstructed intersections: An implementation of vehicle to infrastructure (v2i) collaboration

Y Mo, R Vijay, R Rufus, N Boer, J Kim, M Yu - Sensors, 2024 - mdpi.com
In urban intersections, the sensory capabilities of autonomous vehicles (AVs) are often
hindered by visual obstructions, posing significant challenges to their robust and safe …