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Investigation into the state-of-the-practice autonomous driving testing [article]

Guannan Lou, Yao Deng, Xi Zheng, Mengshi Zhang, Tianyi Zhang
2022 arXiv   pre-print
Through systematic analysis of interview and questionnaire data, we identified eight common practices and four common needs of testing autonomous driving systems from industry.  ...  Compared with traditional software systems, autonomous driving systems (ADSs) often use deep neural networks in tandem with logic-based modules.  ...  Search-based testing aims to find a set of testing parameters in a parameter search space to simulate testing scenarios that are most likely to cause collision.  ... 
arXiv:2106.12233v4 fatcat:q76g44n6wba3vgtxyp25qofeca

Trusted Autonomous Vehicles: an Interactive Exhibit

Hugo L. S. Araujo, Nervo Xavier Verdezoto, Syed Wali, Carlos Diego N. Damasceno, Rayna Dimitrova, Genovefa Kefalidou, Mehdi Mehtarizadeh, Mohammad Reza Mousavi, Jemima Onime, Jan Oliver Ringert, Jose Miguel Rojas
2019 2019 IEEE International Conferences on Ubiquitous Computing & Communications (IUCC) and Data Science and Computational Intelligence (DSCI) and Smart Computing, Networking and Services (SmartCNS)  
for ensuring their quality, i.e., employing software testing and simulations.  ...  Recent surveys about autonomous vehicles show that the public is concerned about the safety consequences of system or equipment failures and the vehicles' reactions to unexpected situations.  ...  Experiencing validation and verification in a driving simulator Rationale.  ... 
doi:10.1109/iucc/dsci/smartcns.2019.00091 fatcat:t4imu3xdkrhenhzzznq2p6a4am

Optimizing coverage of simulated driving scenarios for the autonomous vehicle

Marc Nabhan, Marc Schoenauer, Yves Tourbier, Hiba Hage
2019 2019 IEEE International Conference on Connected Vehicles and Expo (ICCVE)  
In order to cover all possible scenarios, virtual simulations are used to complement real-test driving and aid in the validation process.  ...  It accompanies the algorithm in detecting the maximum amount of faulty scenarios everywhere in the search space.  ...  to detect a maximum number of failures of the autonomous vehicle command law in the space of input parameters of the simulator.  ... 
doi:10.1109/iccve45908.2019.8965211 dblp:conf/iccve/NabhanSTH19 fatcat:spv2f6qdizazdfdjuzxmpw7d4m

Sensors and Sensing for Intelligent Vehicles

David Fernández Llorca, Iván García Daza, Noelia Hernández Parra, Ignacio Parra Alonso
2020 Sensors  
Over the past decades, both industry and academy have made enormous advancements in the field of intelligent vehicles, and a considerable number of prototypes are now driving our roads, railways, air and  ...  sea autonomously.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/s20185115 pmid:32911787 pmcid:PMC7570960 fatcat:nglhjsaeubdytignfjk3gfr2wi

Introduction to the Special Issue on "New Trends towards Automatic Vehicle Control and Perception Systems"

Vicente Milanés, Luis Bergasa
2013 Sensors  
The growth in the number of drivers in the last decades, and consequently in the number of vehicles, has made traffic accidents become a major concern in the road transportation sector.  ...  Solutions such as building new transport infrastructures-specifically in urban areas where space limitations make it almost impossible-or increasing fines for inappropriate driving have not achieved the  ...  The accepted papers underwent final revision and approval for publication in a second round of reviewing.  ... 
doi:10.3390/s130505712 pmid:23645108 pmcid:PMC3690024 fatcat:4ueqfenmyje7vdr75qqkgz535u

Deep Learning-Based Object Detection and Scene Perception under Bad Weather Conditions

Teena Sharma, Benoit Debaque, Nicolas Duclos, Abdellah Chehri, Bruno Kinder, Paul Fortier
2022 Electronics  
In an ordinary or autonomous environment, object detection may be affected by bad weather conditions.  ...  An intelligent vehicle detection solution is necessary to address road traffic concerns with the advancement of automatic cars.  ...  Testing and Validation Using Simulated Datasets We tested and validated our model for two different scenarios: with rain and without rain (Figure 2 ).  ... 
doi:10.3390/electronics11040563 fatcat:hde5y6yorjat3p33fiuvpitw7u

Formal Certification Methods for Automated Vehicle Safety Assessment [article]

Tong Zhao, Ekim Yurtsever, Joel Paulson, Giorgio Rizzoni
2022 arXiv   pre-print
Recent advances in Level 3 and Level 4 autonomous driving have motivated more extensive study in safety guarantees of complicated AV maneuvers, which aligns with the goal of ISO 21448 (Safety of the Intended  ...  Challenges related to automated driving are no longer focused on just the construction of such automated vehicles (AVs), but in assuring the safety of their operation.  ...  collision detection in autonomous driving,” IEEE Transactions on [95] L. Martinez-Gomez and T.  ... 
arXiv:2202.02818v2 fatcat:spgyrglbwjhshl2n43kyx722fa

Path Planning Optimization for Driverless Vehicle in Parallel Parking Integrating Radial Basis Function Neural Network

Leiyan Yu, Xianyu Wang, Zeyu Hou, Zaiyou Du, Yufeng Zeng, Zhaoyang Mu
2021 Applied Sciences  
An experiment concerning parking space detection is conducted using an Arduino intelligent minicar with ultrasonic sensor.  ...  Based on the analysis of the parallel parking process of experienced drivers and the idea of simulating a human driver, the initial path is planned via an arc-line-arc three segment composite curve and  ...  Acknowledgments: We are thankful to anonymous editor and reviewers for their valuable comments and kind suggestions in early versions of this article.  ... 
doi:10.3390/app11178178 fatcat:zspwyeqzgnhxjaq7hr7zamzwmi

Hybrid Verification Technique for Decision-Making of Self-Driving Vehicles

Mohammed Al-Nuaimi, Sapto Wibowo, Hongyang Qu, Jonathan Aitken, Sandor Veres
2021 Journal of Sensor and Actuator Networks  
The evolution of driving technology has recently progressed from active safety features and ADAS systems to fully sensor-guided autonomous driving.  ...  It also includes a parking lot scenario to test the feasibility of this approach in a realistic environment.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/jsan10030042 fatcat:vbui7h3oqbbc5fxqubkcf44534

CARLA Real Traffic Scenarios – novel training ground and benchmark for autonomous driving [article]

Błażej Osiński, Piotr Miłoś, Adam Jakubowski, Paweł Zięcina, Michał Martyniak, Christopher Galias, Antonia Breuer, Silviu Homoceanu, Henryk Michalewski
2021 arXiv   pre-print
The CARLA Real Traffic Scenarios (CRTS) is intended to be a training and testing ground for autonomous driving systems.  ...  This work introduces interactive traffic scenarios in the CARLA simulator, which are based on real-world traffic.  ...  ACKNOWLEDGMENT We greatly acknowledge support of MathWorks which provided us with a free licence of RoadRunner. We used RoadRunner to prepare new CARLA maps.  ... 
arXiv:2012.11329v2 fatcat:euukpq5mprbupctlhvh3twbgpe

Validation of Perception and Decision-Making Systems for Autonomous Driving via Statistical Model Checking

Mathieu Barbier, Alessandro Renzaglia, Jean Quilbeuf, Lukas Rummelhard, Anshul Paigwar, Christian Laugier, Axel Legay, Javier Ibanez-Guzman, Olivier Simonin
2019 2019 IEEE Intelligent Vehicles Symposium (IV)  
In this paper, we propose a generic method to evaluate complex probabilistic frameworks for autonomous driving.  ...  With the increased use of probabilistic approaches in autonomous systems, standard validation methods are not applicable to this end.  ...  ACKNOWLEDGMENT This work has been developed within the scope of Institut de Recherche Technologique NanoElec, founded by the French program "Investissements d'Avenir" ANR-10-AIRT-05.  ... 
doi:10.1109/ivs.2019.8813793 dblp:conf/ivs/BarbierRQRPLLI019 fatcat:tbb6qvzbkzgaxduekqbzdczlae

An MEC Architecture-Oriented Improved RRT Algorithm for Regional Trajectory Planning

Qingwen Han, Ziyun Huang, Lingqiu Zeng, Yunqu Wu, Lei Ye, Hui Zu, Yu Lei
2021 Mobile Information Systems  
A joint simulation is done based on SUMO and NS3 platforms. Simulation results verify the effectiveness and stability of the proposed algorithm.  ...  In this paper, an MEC-oriented VANET infrastructure is presented, and a road hazard feature-based trajectory planning method is proposed.  ...  Simulation Results Analysis. In this part, we shall analyze simulation results from three aspects. Firstly, the simulation process is discussed. en, the validity of the proposed method is considered.  ... 
doi:10.1155/2021/6689293 doaj:26c08580666143a18d6fee5e64c977d8 fatcat:finuff3kgffkdmlr7yelomsc5i

A Systematic Review of Perception System and Simulators for Autonomous Vehicles Research

Francisca Rosique, Pedro J. Navarro, Carlos Fernández, Antonio Padilla
2019 Sensors  
Finally, the current state of regulations that are being applied in different countries around the world on issues concerning the implementation of autonomous vehicles is presented.  ...  In the second part, the main elements to be taken into account in the simulation of a perception system of an AV are presented.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/s19030648 fatcat:zbwk242kabexxaih7phxmalnwa

Mass programmed agents for simulating human strategies in large scale systems

Michal Chalamish, David Sarne, Sarit Kraus
2007 Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems - AAMAS '07  
Acknowledgement: This research was supported in part by ISF grant #1211/04.  ...  To Test our methodology a simulation tool was implemented. The simulation was used to test the effectiveness of different information models in the parking space search domain.  ...  After the submission of all the agents of a single task, the full simulation tool was used by us in order to detect abnormal behaviors.  ... 
doi:10.1145/1329125.1329291 dblp:conf/atal/ChalamishSK07 fatcat:wnbq34ngvjhi3ew36s4xsrd554

A testing framework for predictive driving features with an electronic Horizon

M. Elgharbawy, A. Schwarzhaupt, R. Arenskrieger, H. Elsayed, M. Frey, F. Gauterin
2019 Transportation Research Part F: Traffic Psychology and Behaviour  
In driving simulator tests, various system concepts of a truck series are first evaluated.  ...  Even if the widespread use of full automation is not imminent, the vision of accident-free driving accelerates the further development of driver assistance functions to autonomous vehicle stages on the  ...  -Automotive LiDAR (LIght Detection And Ranging) sensors are based on an optical measurement principle to locate and measure the distance of objects in space.  ... 
doi:10.1016/j.trf.2017.08.002 fatcat:ebqind2uejfnjaxq36aq7nuxja
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