Anomaly Detection in Connected and Autonomous Vehicles: A Survey, Analysis, and Research Challenges

S Baccari, M Hadded, H Ghazzai, H Touati… - IEEE …, 2024 - ieeexplore.ieee.org
In Intelligent Transportation Systems (ITS), ensuring road safety has paved the way for
innovative advancements such as autonomous driving. These self-driving vehicles, with …

Model Predictive Decision-Making Considering Lane-Changing Time Under Emergency Collision Avoidance for Intelligent Vehicles

Q Dai, J Liu, H Guo, H Chen… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
When a vehicle faces an imminent collision, it becomes imperative for intelligent vehicles to
make emergency collision avoidance decisions in order to mitigate traffic accidents and …

Reluctant Republic: A Positive Right for Older People to Refuse AI-Based Technology

G Tudorie - Societies, 2023 - mdpi.com
Societies in the global North face a future of accelerated ageing. In this context, advanced
technology, especially that involving artificial intelligence (AI), is often presented as a natural …

Research on Driving Style Recognition of Autonomous Vehicles Based on ACO-BP

F Cheng, W Gao, S Jia - Applied Sciences, 2023 - mdpi.com
To enhance the lane-changing safety of autonomous vehicles, it is crucial to accurately
identify the driving styles of human drivers in scenarios involving the coexistence of …

Unlocking Mutual Gains—An Experimental Study on Collaborative Autonomous Driving in Urban Environment

S Malik, MA Khan, H El-Sayed, MJ Khan - Sensors, 2023 - mdpi.com
Convoy driving, a specialized form of collaborative autonomous driving, offers a promising
solution to the multifaceted challenges that transportation systems face, including traffic …

基于效用理论的运动规划奖励函数设计方法

冉巍, 陈慧, 杨佳鑫 - 汽车工程, 2023 - qichegongcheng.com
实现个性化且符合驾驶员偏好的运动规划对提高驾驶员对自动驾驶系统接受度具有重要意义.
本文提出了一种考虑驾驶员偏好的运动规划奖励函数设计方法. 首先, 基于效用理论提出了一个 …

Strengths, weaknesses, opportunities, and threats associated with the application of artificial intelligence in connection with sport research, coaching, and optimization …

B Sperlich, P Düking, R Leppich… - Frontiers in Sports and …, 2023 - frontiersin.org
Here, we performed a non-systematic analysis of the strength, weaknesses, opportunities,
and threats (SWOT) associated with the application of artificial intelligence to sports …

Deep Learning-Based Intrusion Detection for Rare Class Network Attacks

Y Yang, Y Gu, Y Yan - 2023 - preprints.org
With the continuous development of network technology, complex network systems generate
massive unbalanced attack traffic. Due to the severe imbalance in the quantities of normal …

Lane-Changing Decisions Making for Autonomous Vehicles via Behavior Cloning and Decision Tree

L Guo, X Liu - 2023 China Automation Congress (CAC), 2023 - ieeexplore.ieee.org
The use of behavior cloning technology for autonomous driving decision-making has
become a research hot spot at home and abroad. Existing research methods are limited to …

Machine Learning-based Lane-level Localization

A Udayakumar, BB Sundararaman - 2023 - odr.chalmers.se
In autonomous driving, for the vehicle to make a decision on its own it has to have precise
knowledge of its location (lane) with respect to its environment. This problem of determining …