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Social Interaction-Aware Dynamical Models and Decision Making for Autonomous Vehicles [article]

Luca Crosato, Kai Tian, Hubert P. H Shum, Edmond S. L. Ho, Yafei Wang, Chongfeng Wei
2023 arXiv   pre-print

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2023 pre-print arXiv:2310.18891v1 fatcat:ra5qnyxbl5ajrhmw7dsccyf6ka
Interaction-aware Autonomous Driving (IAAD) is a rapidly growing field of research that focuses on the development of autonomous vehicles (AVs) that are capable of interacting safely and efficiently with  ...  Commencing with an examination of terminology, attention is drawn to challenges and existing models employed for modelling the behaviour of drivers and pedestrians.  ...  Luca Crosato and Kai Tian contributed equally to this work as co-first authors.  ... 
arXiv:2310.18891v2 fatcat:ncs2wxsm6bettgpmn4t3dwxate
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Luca Crosato, Kai Tian, Hubert P. H Shum, Edmond S. L. Ho, Yafei Wang, Chongfeng Wei. "Social Interaction-Aware Dynamical Models and Decision Making for Autonomous Vehicles." arXiv (2023)

Reinforcement Learning based Negotiation-aware Motion Planning of Autonomous Vehicles [article]

Zhitao Wang, Yuzheng Zhuang, Qiang Gu, Dong Chen, Hongbo Zhang, Wulong Liu
2021 arXiv   pre-print

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The framework models the interaction between the autonomous vehicle and other traffic participants as a Markov Decision Process.  ...  For autonomous vehicles integrating onto roadways with human traffic participants, it requires understanding and adapting to the participants' intention and driving styles by responding in predictable  ...  RL formulation • Markov Decision Process: MDP is an mathematical framework for modeling decision making process for an agent to achieve a goal by learning from a continual interaction with the environment  ... 
arXiv:2107.03600v1 fatcat:tebaof5anzcd7dv6jp7eugznqu
Open Access
Citation

Zhitao Wang, Yuzheng Zhuang, Qiang Gu, Dong Chen, Hongbo Zhang, Wulong Liu. "Reinforcement Learning based Negotiation-aware Motion Planning of Autonomous Vehicles." arXiv (2021)

Planning and Decision-Making for Autonomous Vehicles

Wilko Schwarting, Javier Alonso-Mora, Daniela Rus
2018 Annual Review of Control Robotics and Autonomous Systems  

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Recent advances in the field of perception, planning, and decision-making for autonomous vehicles have led to great improvements in functional capabilities, with several prototypes already driving on our  ...  For instance, planning methods that provide safe and systemcompliant performance in complex, cluttered environments while modeling the uncertain interaction with other traffic participants are required  ...  We briefly introduce methods for parallel autonomy, where a human is still in control of the vehicle, and then focus on autonomous vehicles.  ... 
doi:10.1146/annurev-control-060117-105157 fatcat:hgrhw76idbbdrct742bbhnsqem
Citation

Wilko Schwarting, Javier Alonso-Mora, Daniela Rus. "Planning and Decision-Making for Autonomous Vehicles." Annual Review of Control Robotics and Autonomous Systems 1.1 (2018) 187-210

New research paradigms and agenda of human factors science in the intelligence era [article]

Wei Xu, Zaifeng Gao, Liezhong Ge
2024 arXiv   pre-print

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2022 pre-print
arXiv:2208.12396v3 fatcat:njry6ppao5fknfttm3wt74aewq
2022 pre-print
arXiv:2208.12396v1 fatcat:fqvocsguivgbzdmm4seukid57q
2022 pre-print
arXiv:2208.12396v2 fatcat:hwr2oj42ffgddjqgf5rbedi53m
2023 pre-print
arXiv:2208.12396v4 fatcat:x3remulznbgf7hh644lobewkeu
2023 pre-print
arXiv:2208.12396v5 fatcat:xrr73v2vo5ctvgq4fijobaw6yy
2023 pre-print
arXiv:2208.12396v6 fatcat:qwo2xsnqqrfvpek3yfwtnsdzdu
2023 pre-print
arXiv:2208.12396v8 fatcat:6d5piljsqfff3gw6bt5lgqzr7m
2023 pre-print
arXiv:2208.12396v7 fatcat:f25qodyjrregjk7bsmicf5fpjq
2023 pre-print
arXiv:2208.12396v9 fatcat:jsrny5ulkne4pktq6k2zpwzjwm
2023 pre-print
arXiv:2208.12396v10 fatcat:bu4fuj3gajaqljavlbz4lgsrqq
2023 pre-print
arXiv:2208.12396v11 fatcat:mqi3h22llvc7jbgiu6nrancnsu
The change has raised challenges for human factors science, compelling us to re-examine current research paradigms and agendas.  ...  This paper proposes the innovative concept of "human factors science" to characterize engineering psychology, human factors engineering, human-computer interaction, and other similar fields.  ...  This includes support for bidirectional situation awareness, human-machine mutual trust, shared decision-making and control, social interaction, emotional interaction, etc.  ... 
arXiv:2208.12396v12 fatcat:ztze65r3zrhbng2vodqgfjik6e
Open Access Multiple Versions
Citation

Wei Xu, Zaifeng Gao, Liezhong Ge. "New research paradigms and agenda of human factors science in the intelligence era." arXiv (2024)

The social behavior of autonomous vehicles

Lars Müller, Malte Risto, Colleen Emmenegger
2016 Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing Adjunct - UbiComp '16  

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We integrate tools from social psychology into autonomous-vehicle decision making to quantify and predict the social behavior of other drivers and to behave in a socially compliant way.  ...  We model interactions between human and autonomous agents with game theory and the principle of best response.  ...  This article solely reflects the opinions and conclusions of its authors and not TRI, Toyota, or any other entity. We thank them for this support.  ... 
doi:10.1145/2968219.2968561 dblp:conf/huc/MullerRE16 fatcat:nryythr6p5bcjavhopwvpo6eji
Citation

Lars Müller, Malte Risto, Colleen Emmenegger. "The social behavior of autonomous vehicles." Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing Adjunct - UbiComp '16 (2016) 686-689

Social behavior for autonomous vehicles

Wilko Schwarting, Alyssa Pierson, Javier Alonso-Mora, Sertac Karaman, Daniela Rus
2019 Proceedings of the National Academy of Sciences of the United States of America  

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We integrate tools from social psychology into autonomous-vehicle decision making to quantify and predict the social behavior of other drivers and to behave in a socially compliant way.  ...  We model interactions between agents as a best-response game wherein each agent negotiates to maximize their own utility.  ...  This article solely reflects the opinions and conclusions of its authors and not TRI, Toyota, or any other entity. We thank them for this support.  ... 
doi:10.1073/pnas.1820676116 pmid:31757853 pmcid:PMC6911195 fatcat:mlz7ciesr5gkpo4jf4vsjyk5cy
Szczepanski
Citation

Wilko Schwarting, Alyssa Pierson, Javier Alonso-Mora, Sertac Karaman, Daniela Rus. "Social behavior for autonomous vehicles." Proceedings of the National Academy of Sciences of the United States of America 116.50 (2019) 201820676

Driver Lane Change Intention Inference for Intelligent Vehicles: Framework, Survey, and Challenges

Yang Xing, Chen Lv, Huaji Wang, Hong Wang, Yunfeng Ai, Dongpu Cao, Efstathios Velenis, Fei-Yue Wang
2019 IEEE Transactions on Vehicular Technology  

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A complete DII system can be separated into different modules, which consists of traffic context awareness, driver states monitoring, and the vehicle dynamic measurement module.  ...  Intelligent vehicles and advanced driver assistance systems (ADAS) need to have proper awareness of the traffic context as well as the driver status since ADAS share the vehicle control authorities with  ...  Current decision-making algorithms for autonomous vehicles are mainly based on optimization, probabilistic models, and reinforcement learning.  ... 
doi:10.1109/tvt.2019.2903299 fatcat:a62io5i4cbf3nkhm6k5f2lecje
Citation

Yang Xing, Chen Lv, Huaji Wang, Hong Wang, Yunfeng Ai, Dongpu Cao, Efstathios Velenis, Fei-Yue Wang. "Driver Lane Change Intention Inference for Intelligent Vehicles: Framework, Survey, and Challenges." IEEE Transactions on Vehicular Technology 68.5 (2019) 1-1

Advanced Motion Prediction for Self-Driving Cars

Miguel Angel Sotelo
2021 2021 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC)  

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In this work, we aim at socially-aware and socially-consistent vehicles and VRUs trajectory forecasting and interaction understanding.  ...  In the light of the above mentioned, the main contributions can be summarized as follows: • Socially-aware: we propose SCOUT, a generic graphbased formulation for modelling traffic interactions, where  ... 
doi:10.1109/icarsc52212.2021.9429787 fatcat:ykz53chnnfbbzpeu2dmkk4axlm
Citation

Miguel Angel Sotelo. "Advanced Motion Prediction for Self-Driving Cars." 2021 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC) (2021)

Social Interactions for Autonomous Driving: A Review and Perspectives [article]

Wenshuo Wang, Letian Wang, Chengyuan Zhang, Changliu Liu, Lijun Sun
2022 arXiv   pre-print

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arXiv:2208.07541v1 fatcat:7z7k4msnavf4xb4nioiz7cqk7i
2022 pre-print
arXiv:2208.07541v2 fatcat:v4im5nawirb6zfszzankyhqwbe
2022 accepted
doi:10.1561/2300000078 arXiv:2208.07541v4 fatcat:s5goqeuajbgeph3zhdjohya6ei
2022 accepted
arXiv:2208.07541v5 fatcat:ucfa7guoqbhfdipmoaccfzfmr4
3) How to model and reveal the process of social interaction? 4) How do human drivers reach an implicit agreement and negotiate smoothly in social interaction?  ...  This paper reviews various approaches to modeling and learning the social interactions between human drivers, ranging from optimization theory and graphical models to social force theory and behavioral  ...  Acknowledgements We would like to acknowledge support for this project from 2020 IVADO Postdoctoral Fellowship Awards (IVADO-PostDoc-2020a-5297372919) and IVADO MSc Excellence Scholarship (IVADO-MSc-2020  ... 
arXiv:2208.07541v3 fatcat:d2h4lpnpzrd4nhkm4sfqc3h7ci
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Citation

Wenshuo Wang, Letian Wang, Chengyuan Zhang, Changliu Liu, Lijun Sun. "Social Interactions for Autonomous Driving: A Review and Perspectives." arXiv (2022)

Altruistic Maneuver Planning for Cooperative Autonomous Vehicles Using Multi-agent Advantage Actor-Critic [article]

Behrad Toghi, Rodolfo Valiente, Dorsa Sadigh, Ramtin Pedarsani, Yaser P. Fallah
2021 arXiv   pre-print

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To attain socially-desirable behaviors, autonomous vehicles must be instructed to consider the utility of other vehicles around them in their decision-making process.  ...  Thus, in contrast with the existing works which rely on behavior models of human drivers, we take an end-to-end approach and let the autonomous agents to implicitly learn the decision-making process of  ...  Connecting AVs and human-driven vehicles (HVs) via vehicle-to-vehicle (V2V) communication creates an opportunity for extended situational awareness and enhanced decision making [28, 30] .  ... 
arXiv:2107.05664v1 fatcat:2mr44i7y7fgfdkifcqyn3akusa
Open Access
Citation

Behrad Toghi, Rodolfo Valiente, Dorsa Sadigh, Ramtin Pedarsani, Yaser P. Fallah. "Altruistic Maneuver Planning for Cooperative Autonomous Vehicles Using Multi-agent Advantage Actor-Critic." arXiv (2021)

A Survey on Motion Prediction of Pedestrians and Vehicles for Autonomous Driving

Mahir Gulzar, Yar Muhammad, Naveed Muhammad
2021 IEEE Access  

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ACKNOWLEDGEMENTS This research has been funded by European Social Fund via IT Academy programme.  ...  (methods that consider social norms between people and use these norms for decision making), dynamics-based (methods that use tracking filters to estimate the future position of pedestrians), dynamics  ...  and drives efficient decision making of an AV [2] .  ... 
doi:10.1109/access.2021.3118224 fatcat:igidt65lgjhjtnjjq2uvv32p24
DOAJ
Citation

Mahir Gulzar, Yar Muhammad, Naveed Muhammad. "A Survey on Motion Prediction of Pedestrians and Vehicles for Autonomous Driving." IEEE Access (2021) 1-1

Dynamic Interaction-Aware Scene Understanding for Reinforcement Learning in Autonomous Driving [article]

Maria Huegle, Gabriel Kalweit, Moritz Werling, Joschka Boedecker
2019 arXiv   pre-print

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The common pipeline in autonomous driving systems is highly modular and includes a perception component which extracts lists of surrounding objects and passes these lists to a high-level decision component  ...  In this case, leveraging the benefits of deep reinforcement learning for high-level decision making requires special architectures to deal with multiple variable-length sequences of different object types  ...  decision making for autonomous driving.  ... 
arXiv:1909.13582v1 fatcat:vsmj3jg2wjgtndkw42w4y6yw54
Citation

Maria Huegle, Gabriel Kalweit, Moritz Werling, Joschka Boedecker. "Dynamic Interaction-Aware Scene Understanding for Reinforcement Learning in Autonomous Driving." arXiv (2019)

A Survey on Socially Aware Robot Navigation: Taxonomy and Future Challenges [article]

Phani Teja Singamaneni, Pilar Bachiller-Burgos, Luis J. Manso, Anaís Garrell, Alberto Sanfeliu, Anne Spalanzani, Rachid Alami
2024 arXiv   pre-print

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arXiv:2311.06922v1 fatcat:vd5bv7hr4bdhvcucrtvdsrvqcq
2023 pre-print
arXiv:2311.06922v2 fatcat:aaztwsxmkrdh5cg7p6eixrafzi
2024 accepted
arXiv:2311.06922v4 fatcat:ljyiqfjwyjbt7dw47f7jgqnizu
The research is further fueled by a need for socially aware navigation skills in autonomous vehicles to move safely and appropriately in spaces shared with humans.  ...  Socially aware robot navigation is gaining popularity with the increase in delivery and assistive robots.  ...  Also, in ) a pedestrian trajectory prediction model is proposed for autonomous vehicles, combining SFM and a decision model for conflicting pedestrian-vehicle interactions.  ... 
arXiv:2311.06922v3 fatcat:nlgn73la55c5zjiyyema4el4o4
Multiple Versions
Citation

Phani Teja Singamaneni, Pilar Bachiller-Burgos, Luis J. Manso, Anaís Garrell, Alberto Sanfeliu, Anne Spalanzani, Rachid Alami. "A Survey on Socially Aware Robot Navigation: Taxonomy and Future Challenges." arXiv (2024)

Understanding Pedestrian-Vehicle Interactions with Vehicle Mounted Vision: An LSTM Model and Empirical Analysis [article]

Daniela A. Ridel, Nachiket Deo, Denis Wolf, Mohan M. Trivedi
2019 arXiv   pre-print

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Pedestrians and vehicles often share the road in complex inner city traffic. This leads to interactions between the vehicle and pedestrians, with each affecting the other's motion.  ...  In this paper, we present a data-driven approach to implicitly model pedestrians' interactions with vehicles, to better predict pedestrian behavior.  ...  We also would like to thank Fulbright and CAPES for the financial support in this research.  ... 
arXiv:1905.05350v1 fatcat:4gl5xdq7dzbmzadjqx47glxjdu
Citation

Daniela A. Ridel, Nachiket Deo, Denis Wolf, Mohan M. Trivedi. "Understanding Pedestrian-Vehicle Interactions with Vehicle Mounted Vision: An LSTM Model and Empirical Analysis." arXiv (2019)

Intention-Aware Autonomous Driving Decision-Making in an Uncontrolled Intersection

Weilong Song, Guangming Xiong, Huiyan Chen
2016 Mathematical Problems in Engineering  

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interaction intentions (e.g., yield status for related vehicles).  ...  Autonomous vehicles need to perform social accepted behaviors in complex urban scenarios including human-driven vehicles with uncertain intentions.  ...  In the decision-making layer, we do not need to consider complex vehicle dynamic model.  ... 
doi:10.1155/2016/1025349 fatcat:bznx4nxgzfd4nhyny2jxdmb5ju
DOAJ Szczepanski
Citation

Weilong Song, Guangming Xiong, Huiyan Chen. "Intention-Aware Autonomous Driving Decision-Making in an Uncontrolled Intersection." Mathematical Problems in Engineering (2016) 1-15

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