Papers
Topics
Authors
Recent
Gemini 2.5 Flash
Gemini 2.5 Flash
169 tokens/sec
GPT-4o
7 tokens/sec
Gemini 2.5 Pro Pro
45 tokens/sec
o3 Pro
4 tokens/sec
GPT-4.1 Pro
38 tokens/sec
DeepSeek R1 via Azure Pro
28 tokens/sec
2000 character limit reached

OpenConvoy: Universal Platform for Real-World Testing of Cooperative Driving Systems (2405.18600v1)

Published 28 May 2024 in cs.RO, cs.AR, cs.SY, and eess.SY

Abstract: Cooperative driving, enabled by communication between automated vehicle systems, promises significant benefits to fuel efficiency, road capacity, and safety over single-vehicle driver assistance systems such as adaptive cruise control (ACC). However, the responsible development and implementation of these algorithms poses substantial challenges due to the need for extensive real-world testing. We address this issue and introduce OpenConvoy, an open and extensible framework designed for the implementation and assessment of cooperative driving policies on physical connected and autonomous vehicles (CAVs). We demonstrate the capabilities of OpenConvoy through a series of experiments on a convoy of multi-scale vehicles controlled by Platooning to show the stability of our system across vehicle configurations and its ability to effectively measure convoy cohesion across driving scenarios including varying degrees of communication loss.

Definition Search Book Streamline Icon: https://streamlinehq.com
References (51)
  1. V2X Communications: Recent Advancements and Performance Analysis, pp. 341–364, 01 2021.
  2. Xiao-Yun Lu Hao Liu, Steven E. Shladover and Xingan (David) Kan, “Freeway vehicle fuel efficiency improvement via cooperative adaptive cruise control,” Journal of Intelligent Transportation Systems, vol. 25, no. 6, pp. 574–586, 2021.
  3. “The opencda open-source ecosystem for cooperative driving automation research,” 2023.
  4. “Challenges in autonomous vehicle testing and validation,” SAE International Journal of Transportation Safety, vol. 4, no. 1, pp. 15–24, 2016.
  5. “Sensor and sensor fusion technology in autonomous vehicles: A review,” Sensors (Basel), vol. 21, no. 6, pp. 2140, Mar 2021.
  6. “Are commercially implemented adaptive cruise control systems string stable?,” 2019.
  7. “Vehicle-to-everything (v2x) in the autonomous vehicles domain – a technical review of communication, sensor, and ai technologies for road user safety,” Transportation Research Interdisciplinary Perspectives, vol. 23, pp. 100980, 2024.
  8. “Cooperative adaptive cruise control: Driver acceptance of following gap settings less than one second,” Proceedings of the Human Factors and Ergonomics Society Annual Meeting, vol. 54, no. 24, pp. 2033–2037, 2010.
  9. “The impact of cooperative adaptive cruise control on traffic-flow characteristics,” IEEE Transactions on Intelligent Transportation Systems, vol. 7, no. 4, pp. 429–436, 2006.
  10. “Impacts of cooperative adaptive cruise control on freeway traffic flow,” Transportation Research Record, vol. 2324, no. 1, pp. 63–70, 2012.
  11. Baher Abdulhai Arash Olia, Saiedeh Razavi and Hossam Abdelgawad, “Traffic capacity implications of automated vehicles mixed with regular vehicles,” Journal of Intelligent Transportation Systems, vol. 22, no. 3, pp. 244–262, 2018.
  12. “Assessing environmental impacts of ad-hoc truck platooning on multilane freeways,” Journal of Intelligent Transportation Systems, vol. 25, no. 3, pp. 281–292, 2021.
  13. “Cooperative- and eco-driving: Impact on fuel consumption for heavy trucks on hills,” Electronics, vol. 10, no. 19, 2021.
  14. “Collaborative autonomous driving-a survey of solution approaches and future challenges,” Sensors (Basel), vol. 21, no. 11, pp. 3783, May 2021.
  15. “Cooperative adaptive cruise control (cacc) for truck platooning: Operational concept alternatives,” Tech. Rep., UC Berkeley: California Partners for Advanced Transportation Technology, 2015.
  16. “Predictive model-based and control-aware communication strategies for cooperative adaptive cruise control,” IEEE Open Journal of Intelligent Transportation Systems, vol. 4, pp. 232–243, 2023.
  17. “Stability and scalability of homogeneous vehicular platoon: Study on the influence of information flow topologies,” IEEE Transactions on Intelligent Transportation Systems, vol. 17, no. 1, pp. 14–26, 2016.
  18. “Impact of information flow topology on safety of tightly-coupled connected and automated vehicle platoons utilizing stochastic control,” in 2022 European Control Conference (ECC), 2022, pp. 27–33.
  19. “Impact of communication loss on mpc based cooperative adaptive cruise control and platooning,” in 2021 IEEE 94th Vehicular Technology Conference (VTC2021-Fall), 2021, pp. 01–07.
  20. “Cooperative look-ahead control for fuel-efficient and safe heavy-duty vehicle platooning,” IEEE Transactions on Control Systems Technology, vol. 25, no. 1, pp. 12–28, 2017.
  21. “Nonlinear spacing policies for vehicle platoons: A geometric approach to decentralized control,” Systems & Control Letters, vol. 153, pp. 104954, 2021.
  22. “Fully distributed event-triggered vehicular platooning with actuator uncertainties,” IEEE Transactions on Vehicular Technology, vol. 70, no. 7, pp. 6601–6612, 2021.
  23. “Event-triggered platoon control of vehicles with time-varying delay and probabilistic faults,” Mechanical Systems and Signal Processing, vol. 87, pp. 96–117, 2017, Signal Processing and Control challenges for Smart Vehicles.
  24. “Cooperative adaptive cruise control of vehicles using a resource-efficient communication mechanism,” IEEE Transactions on Intelligent Vehicles, vol. 4, no. 1, pp. 127–140, 2019.
  25. N. Koenig and A. Howard, “Design and use paradigms for gazebo, an open-source multi-robot simulator,” in 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (IEEE Cat. No.04CH37566), 2004, vol. 3, pp. 2149–2154 vol.3.
  26. The MathWorks Inc., “Matlab version: 9.13.0 (r2022b),” 2022.
  27. “Carla: An open urban driving simulator,” 2017.
  28. “Lgsvl simulator: A high fidelity simulator for autonomous driving,” 2020.
  29. “Carsim: a system to visualize written road accident reports as animated 3d scenes,” in Proceedings of the 2nd Workshop on Text Meaning and Interpretation, USA, 2004, TextMean ’04, p. 57–64, Association for Computational Linguistics.
  30. “Microscopic traffic simulation using sumo,” in The 21st IEEE International Conference on Intelligent Transportation Systems. 2018, IEEE.
  31. Veins: The Open Source Vehicular Network Simulation Framework, pp. 215–252, Springer International Publishing, Cham, 2019.
  32. “Opencda:an open cooperative driving automation framework integrated with co-simulation,” 2021.
  33. “Coopernaut: End-to-end driving with cooperative perception for networked vehicles,” in 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). June 2022, IEEE.
  34. “Towards collaborative autonomous driving: Simulation platform and end-to-end system,” 2024.
  35. “A cooperative driver assistance system: Decentralization process and test framework,” 2015.
  36. “A novel simulation framework for the design and testing of advanced driver assistance systems,” in 2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall), 2019, pp. 1–6.
  37. “What cooperation costs: Quality of communication and cooperation costs for cooperative vehicular maneuvering in large-scale scenarios,” in International Conference on Vehicle Technology and Intelligent Transport Systems, 2020.
  38. “A rapid prototyping environment for cooperative advanced driver assistance systems,” Journal of Advanced Transportation, vol. 2018, pp. 2586520, 2018.
  39. “Intelligent co-simulation framework for cooperative driving functions,” in 2021 IEEE 17th International Conference on Intelligent Computer Communication and Processing (ICCP), 2021, pp. 109–115.
  40. “How simulation helps autonomous driving: A survey of sim2real, digital twins, and parallel intelligence,” IEEE Transactions on Intelligent Vehicles, vol. 9, no. 1, pp. 593–612, 2024.
  41. “V2v4real: A real-world large-scale dataset for vehicle-to-vehicle cooperative perception,” in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), June 2023, pp. 13712–13722.
  42. “A lidar error model for cooperative driving simulations,” in 2018 IEEE Vehicular Networking Conference (VNC), 2018, pp. 1–8.
  43. “Microiv: A cooperative driving hardware simulation platform for cooperative-its,” IEEE Transactions on Vehicular Technology, vol. 67, no. 10, pp. 9173–9182, 2018.
  44. MAVLink Dev Team, “Mavros - mavlink extendable communication node for ros with proxy for ground control station,” 2024, Accessed: 2024-05-27.
  45. “Px4: A node-based multithreaded open source robotics framework for deeply embedded platforms,” in 2015 IEEE International Conference on Robotics and Automation (ICRA), 2015, pp. 6235–6240.
  46. ArduPilot Dev Team, “Ardupilot,” 2024, Accessed: 2024-05-27.
  47. Farid Ahmed and Zaid, “Basic safety messages (bsm),” 2019, Accessed: 2024-05-27.
  48. “Pid control system analysis, design, and technology,” IEEE Transactions on Control Systems Technology, vol. 13, no. 4, pp. 559–576, 2005.
  49. “Autonomous automobile trajectory tracking for off-road driving: Controller design, experimental validation and racing,” in 2007 American Control Conference, 2007, pp. 2296–2301.
  50. “Cooperative adaptive cruise control: Definitions and operating concepts,” Transportation Research Record, vol. 2489, no. 1, pp. 145–152, 2015.
  51. “Impact of communication loss on mpc based cooperative adaptive cruise control and platooning,” in 2021 IEEE 94th Vehicular Technology Conference (VTC2021-Fall). IEEE, 2021, pp. 01–07.

Summary

We haven't generated a summary for this paper yet.