Application of YOLOv8 in Monocular Downward Multiple Car Target Detection

Shijie Lyu

doi:10.54254/2755-2721/2025.20045

Article Information

Received: 14 December 2024

Published: 10 January 2025

DOI: https://doi.org/10.54254/2755-2721/2025.20045

Article Type: Research Article

Cite this article

Lyu,S. (2025). Application of YOLOv8 in Monocular Downward Multiple Car Target Detection. Applied and Computational Engineering,121,173-178.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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About this Volume

Volume Title: ACE Vol.121

Part of Series: Applied and Computational Engineering

ISSN: 2755-2721 (Print) / 2755-273X (Online)

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[1]Kaur K, Rampersad G. Trust in driverless cars: Investigating key factors influencing the adoption of driverless cars[J]. Journal of Engineering and Technology Management, 2018, 48: 87-96.

[2]Goodchild M F. GIScience for a driverless age[J]. International Journal of Geographical Information Science, 2018, 32(5): 849-855.

[3]Li T, He Z, Wu Y. An integrated route planning approach for driverless vehicle delivery system[J]. PeerJ Computer Science, 2022, 8: e1170.

[4]Paschalidis E, Hajiseyedjavadi F, Wei C, et al. Deriving metrics of driving comfort for autonomous vehicles: A dynamic latent variable model of speed choice[J]. Analytic methods in accident research, 2020, 28: 100133.

[5]Zhao H, Peng X, Wang S, et al. Improved object detection method for unmanned driving based on Transformers[J]. Frontiers in neurorobotics, 2024, 18: 1342126.

[6]Royo S, Ballesta-Garcia M. An overview of lidar imaging systems for autonomous vehicles[J]. Applied sciences, 2019, 9(19): 4093.

[7]Kuzin V D, Pronin P I, Zarubin D N, et al. Unmanned vehicle LIDAR-camera sensor fusion technology[C]//IOP Conference Series: Materials Science and Engineering. IOP Publishing, 2019, 695(1): 012012.

[8]Wu B, Cai Z, Wu W, et al. AoI-aware resource management for smart health via deep reinforcement learning[J]. IEEE Access, 2023.

[9]Du Y, Liu X, Yi Y, et al. Optimizing road safety: advancements in lightweight YOLOv8 models and GhostC2f design for real-time distracted driving detection[J]. Sensors, 2023, 23(21): 8844.

[10]Mecocci A, Grassi C. RTAIAED: a real-time ambulance in an emergency detector with a pyramidal part-based model composed of MFCCs and YOLOv8[J]. Sensors, 2024, 24(7): 2321.