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The autonomous driving industry is rapidly advancing, with Vehicle-to-Vehicle (V2V) communication systems highlighting as a key component of enhanced road safety and traffic efficiency.
Cooperative driving at blind crossings using intervehicle communication
Li, L., and Wang, F.-Y · 2006
Earlier work this paper cites.
A strategy to reduce older driver injuries at intersections using more accommodating roundabout design practices
Lord, D., van Schalkwyk, I., Chrysler, S., and Staplin, L · 2007
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Factors contributing to the severity of intersection crashes
Tay, R., and Rifaat, S · 2007
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The impact of stopping on fuel consumption
Miller, V · 2011
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Dynamic cell association for non-orthogonal multiple-access v2s networks
Qian, L. P., Wu, Y., Zhou, H., and Shen, X · 2017
Earlier work this paper cites.
Target fusion detection of lidar and camera based on the improved yolo algorithm
Han, J., Liao, Y., Zhang, J., Wang, S., and Li, S · 2018
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A resilient and distributed near real-time traffic forecasting application for fog computing environments
Pérez, J. L., Gutierrez-Torre, A., Berral, J. L., and Carrera, D · 2018
Earlier work this paper cites.
Lidar and camera detection fusion in a real-time industrial multi-sensor collision avoidance system
Wei, P., Cagle, L., Reza, T., Ball, J., and Gafford, J · 2018
Earlier work this paper cites.
Hardware-in-the-loop autonomous driving simulation without real-time constraints
Brogle, C., Zhang, C., Lim, K. L., and Bräunl, T · 2019
Cited alongside, same era.
Exploring the limitations of behavior cloning for autonomous driving
Codevilla, F., Santana, E., López, A. M., and Gaidon, A · 2019
Cited alongside, same era.
Pedestrian detection for autonomous driving within cooperative communication system
Hbaieb, A., Rezgui, J., and Chaari, L · 2019
Cited alongside, same era.
Exploiting vehicle-to-vehicle communications for enhanced situational awareness
Metzner, A., and Wickramarathne, T · 2019
Cited alongside, same era.
V2v-based method for the detection of road traffic congestion
Wang, R., Xu, Z., Zhao, X., and Hu, J · 2019
Cited alongside, same era.
A tutorial survey on vehicle-to-vehicle communications
Zeadally, S., Guerrero, J., and Contreras, J · 2020
Collision avoidance predictive motion planning based on integrated perception and v2v communication
Zhang, S., Wang, S., Yu, S., Yu, J. J. Q., and Wen, M · 2022
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Wireless distributed consensus in vehicle to vehicle networks for autonomous driving
Feng, C., Xu, Z., Zhu, X., Klaine, P. V., and Zhang, L · 2023
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Robosense lidar systems for autonomous driving
Apollo, B · 2024
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High-tech v2v communication scene
Jie Wang, OpenAI DALL-E · 2024
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Advances in APPFL: A comprehensive and extensible federated learning framework
Li, Z., He, S., Yang, Z., Ryu, M., Kim, K., and Madduri, R. K · 2024
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Robosense lidar systems for autonomous driving
Robosense · 2024
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Cited alongside, same era.
Risk ranked recall: Collision safety metric for object detection systems in autonomous vehicles
Bansal, A., Singh, J., Verucchi, M., Caccamo, M., and Sha, L · 2021
Cited alongside, same era.
Lidar cluster first and camera inference later: A new perspective towards autonomous driving
Chen, J., Yu, S. C. H., Tabish, R., Bansal, A., Liu, S., Abdelzaher, T. F., and Sha, L. R · 2021
Cited alongside, same era.
https://www.quanser.com/products/qcar/
Qcar
Cited in the paper.
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YOLO algorithm documentation, Accessed 2024
Ultralytics · 2024
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