中文
相关论文

相关论文: Driving Simulator Platform for Development and Eva…

200 篇论文

Developing safety and efficiency applications for Connected and Automated Vehicles (CAVs) require a great deal of testing and evaluation. The need for the operation of these systems in critical and dangerous situations makes the burden of…

多智能体系统 · 计算机科学 2023-04-27 Ahura Jami , Mahdi Razzaghpour , Hussein Alnuweiri , Yaser P. Fallah

This paper addresses the problem of human-based driver support. Nowadays, driver support systems help users to operate safely in many driving situations. Nevertheless, these systems do not fully use the rich information that is available…

人机交互 · 计算机科学 2024-10-08 Tim Puphal , Benedict Flade , Matti Krüger , Ryohei Hirano , Akihito Kimata

Autonomous vehicles (AVs) are being rapidly introduced into our lives. However, public misunderstanding and mistrust have become prominent issues hindering the acceptance of these driverless technologies. The primary objective of this study…

人机交互 · 计算机科学 2023-02-20 Zhijie Qiao , Helen Loeb , Venkata Gurrla , Matt Lebermann , Johannes Betz , Rahul Mangharam

With growing complexity and responsibility of automated driving functions in road traffic and growing scope of their operational design domains, there is increasing demand for covering significant parts of development, validation, and…

Autonomous driving has been the subject of increased interest in recent years both in industry and in academia. Serious efforts are being pursued to address legal, technical and logistical problems and make autonomous cars a viable option…

人工智能 · 计算机科学 2016-08-31 Nan Li , Dave Oyler , Mengxuan Zhang , Yildiray Yildiz , Ilya Kolmanovsky , Anouck Girard

The safety of single-vehicle autonomous driving technology is limited due to the limits of perception capability of on-board sensors. In contrast, vehicle-road collaboration technology can overcome those limits and improve the traffic…

机器人学 · 计算机科学 2022-08-16 D. Wu

Autonomous vehicle safety and reliability are the paramount requirements when developing autonomous vehicles. These requirements are guaranteed by massive functional and performance tests. Conducting these tests on real vehicles is…

分布式、并行与集群计算 · 计算机科学 2017-06-01 Jie Tang , Shaoshan Liu , Chao Wang , Quan Wang

Simulation is essential to validate autonomous driving systems. However, a simple simulation, even for an extremely high number of simulated miles or hours, is not sufficient. We need well-founded criteria showing that simulation does…

软件工程 · 计算机科学 2023-01-24 Changwen Li , Joseph Sifakis , Qiang Wang , Rongjie Yan , Jian Zhang

With growing complexity and criticality of automated driving functions in road traffic and their operational design domains (ODD), there is increasing demand for covering significant proportions of development, validation, and verification…

Pedestrians' safety is a crucial factor in assessing autonomous driving scenarios. However, pedestrian safety evaluation is rarely considered by existing autonomous driving simulation platforms. This paper proposes a pedestrian safety…

Safe and smooth interacting with other vehicles is one of the ultimate goals of driving automation. However, recent reports of demonstrative deployments of automated vehicles (AVs) indicate that AVs are still difficult to meet the…

系统与控制 · 电气工程与系统科学 2022-05-11 Daofei Li , Ao Liu , Hao Pan , Wentao Chen

This paper introduces a general simulation framework that can allow the simulation of crashes and the evaluation of consequences on existing microsimulation packages. A specific family of simple and reproducible conflict indicators is…

多智能体系统 · 计算机科学 2018-08-07 Vittorio Astarita , Vincenzo Pasquale Giofré

This study underscores the vital importance of intelligent driving functions in enhancing road safety and driving comfort. Central to our research is the challenge of obtaining sufficient test data for evaluating these functions, especially…

机器人学 · 计算机科学 2024-02-06 Nico Schick , Franjo Čičak

Data for training learning-enabled self-driving cars in the physical world are typically collected in a safe, normal environment. Such data distribution often engenders a strong bias towards safe driving, making self-driving cars unprepared…

Drivers are becoming increasingly reliant on advanced driver assistance systems (ADAS) as autonomous driving technology becomes more popular and developed with advanced safety features to enhance road safety. However, the increasing…

密码学与安全 · 计算机科学 2025-06-23 Cheng Chen , Grant Xiao , Daehyun Lee , Lishan Yang , Evgenia Smirni , Homa Alemzadeh , Xugui Zhou

Simulation data can be utilized to extend real-world driving data in order to cover edge cases, such as vehicle accidents. The importance of handling edge cases can be observed in the high societal costs in handling car accidents, as well…

机器人学 · 计算机科学 2020-07-24 Shivam Akhauri , Laura Zheng , Ming Lin

Automated driving systems (ADSs) promise a safe, comfortable and efficient driving experience. However, fatalities involving vehicles equipped with ADSs are on the rise. The full potential of ADSs cannot be realized unless the robustness of…

机器人学 · 计算机科学 2020-04-06 Ekim Yurtsever , Jacob Lambert , Alexander Carballo , Kazuya Takeda

The connected vehicle technology is a remarkable trend in the field of the intelligent transportation system. Since the actual deployment of the connected vehicle system is still lacking hitherto, simulation is widely adopted as the major…

系统与控制 · 计算机科学 2018-09-07 Weitong Zhang , Shuai Liu , Daoya Yao

Autonomous driving is a highly anticipated approach toward eliminating roadway fatalities. At the same time, the bar for safety is both high and costly to verify. This work considers the role of remotely-located human operators supervising…

系统与控制 · 电气工程与系统科学 2024-09-17 Cameron Hickert , Zhongxia Yan , Cathy Wu

Lane change is a very demanding driving task and number of traffic accidents are induced by mistaken maneuvers. An automated lane change system has the potential to reduce driver workload and to improve driving safety. One challenge is how…

机器人学 · 计算机科学 2021-01-01 Zheng Wang , Muhua Guan , Jin Lan , Bo Yang , Tsutomu Kaizuka , Junichi Taki , Kimihiko Nakano
‹ 上一页 1 2 3 10 下一页 ›