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Yanfeng Li, Hsin Guan, Xin Jia and Chunguang Duan
A scenario vehicle in autonomous driving simulations is a dynamic entity that is expected to perform trustworthy bidirectional interaction tasks with the autonomous vehicle under test. Modeling interactive behavior can not only facilitate better predicti...
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Eatedal Alabdulkreem, Jaber S. Alzahrani, Nadhem Nemri, Olayan Alharbi, Abdullah Mohamed, Radwa Marzouk and Anwer Mustafa Hilal
Presently, autonomous systems have gained considerable attention in several fields such as transportation, healthcare, autonomous driving, logistics, etc. It is highly needed to ensure the safe operations of the autonomous system before launching it to t...
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Zhixi Hu, Yi Zhu, Xiaoying Chen and Yu Zhao
Autonomous driving is a safety-critical system, and the occupancy of its environmental resources affects the safety of autonomous driving. In view of the lack of safety verification of environmental resource occupation rules in autonomous driving, this p...
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Dong-Sung Pae, Geon-Hee Kim, Tae-Koo Kang and Myo-Taeg Lim
Path planning research plays a vital role in terms of safety and comfort in autonomous driving systems. This paper focuses on safe driving and comfort riding through path planning in autonomous driving applications and proposes autonomous driving path pl...
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Mohamed Abdelaal and Steffen Schön
This paper considers nonlinear model predictive control for simultaneous path-following and collision avoidance of connected autonomous vehicles. For each agent, a nonlinear bicycle model is used to predict a sequence of the states and then optimize them...
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Xinli Geng, Huawei Liang, Biao Yu, Pan Zhao, Liuwei He and Rulin Huang
Driving through dynamically changing traffic scenarios is a highly challenging task for autonomous vehicles, especially on urban roadways. Prediction of surrounding vehicles? driving behaviors plays a crucial role in autonomous vehicles. Most traditional...
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Sujith Gunturu, Arslan Munir, Hayat Ullah, Stephen Welch and Daniel Flippo
To obtain more consistent measurements through the course of a wheat growing season, we conceived and designed an autonomous robotic platform that performs collision avoidance while navigating in crop rows using spatial artificial intelligence (AI). The ...
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Inês A. Ribeiro, Tiago Ribeiro, Gil Lopes and A. Fernando Ribeiro
This paper presents a solution for an autonomously driven vehicle (a robotic car) based on artificial intelligence using a supervised learning method. A scaled-down robotic car containing only one camera as a sensor was developed to participate in the Ro...
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Zhuangzhuang Yang, Chengxin Pang and Xinhua Zeng
Predicting the future trajectories of multiple agents is essential for various applications in real life, such as surveillance systems, autonomous driving, and social robots. The trajectory prediction task is influenced by many factors, including individ...
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P. Karthikeyan, Wei-Lun Chen and Pao-Ann Hsiung
Developing a safer and more effective intersection-control system is essential given the trends of rising populations and vehicle numbers. Additionally, as vehicle communication and self-driving technologies evolve, we may create a more intelligent contr...
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Kai Liu, Jianwei Gong, Shuping Chen, Yu Zhang and Huiyan Chen
This paper presents a model predictive control (MPC) scheme for the stabilization of high-speed autonomous ground vehicles (AGVs) considering the effect of road topography. Accounting for the road curvature and bank angle, a single-track dynamic model wi...
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Mihai Crengani?, Radu-Eugen Breaz, Sever-Gabriel Racz, Claudia-Emilia Gîrjob, Cristina-Maria Biri?, Adrian Maro?an and Alexandru Bârsan
This scientific paper presents the development and validation process of a dynamic model in Simulink used for decision-making regarding the locomotion and driving type of autonomous omnidirectional mobile platforms. Unlike traditional approaches relying ...
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Lulu Cheng, Ning Zhao, Kan Wu and Zhibin Chen
Autonomous mobile robots (AMRs) play a crucial role in transportation and service tasks at hospitals, contributing to enhanced efficiency and meeting medical demands. This paper investigates the optimization problem of scheduling strategies for AMRs at s...
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Chang-il Kim, Jinuk Park, Yongju Park, Woojin Jung and Yong-seok Lim
A traffic sign recognition system is crucial for safely operating an autonomous driving car and efficiently managing road facilities. Recent studies on traffic sign recognition tasks show significant advances in terms of accuracy on several benchmarks. H...
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Yanqun Yang, Yu Wang, Said M. Easa and Xinyi Zheng
This study investigated drivers? perceptions of pedestrian crossing behavior at unsignalized crosswalks, which was less fruitful in quantitative and qualitative traffic research. Subjective and snow-ball sampling were used to conduct semi-structured in-d...
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Lingjie Zhu, Shuhan Shen, Xiang Gao and Zhanyi Hu
Modeling urban scenes automatically is an important problem for both GIS and nonGIS specialists with applications like urban planning, autonomous driving, and virtual reality. In this paper, we present a novel contour deformation approach to generate reg...
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Xinyu Tian, Qinghe Zheng, Zhiguo Yu, Mingqiang Yang, Yao Ding, Abdussalam Elhanashi, Sergio Saponara and Kidiyo Kpalma
At present, the design of modern vehicles requires improving driving performance while meeting emission standards, leading to increasingly complex power systems. In autonomous driving systems, accurate, real-time vehicle speed prediction is one of the ke...
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Yuqing Chen, Yaowen Liu, Yangrui Meng, Shuanghe Yu and Yan Zhuang
Unmanned Aerial Underwater Vehicles (UAUVs) with multiple propellers can operate in two distinct mediums, air and underwater, and the system modeling of the autonomous vehicles is a key issue to adapt to these different external environments. In this pap...
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Haojun Wen, Xiaodong Ma, Chenjian Qin, Hao Chen and Huanyu Kang
The high clearance spray is a type of large and efficient agricultural machinery used for plant protection, and path tracking control is the key to ensure the efficient and safe operation of spray. Sliding mode control and other methods are commonly used...
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Yusef Savid, Reza Mahmoudi, Rytis Maskeliunas and Robertas Dama?evicius
Advancements in artificial intelligence are leading researchers to find use cases that were not as straightforward to solve in the past. The use case of simulated autonomous driving has been known as a notoriously difficult task to automate, but advancem...
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