Robustness of Object Detection of Autonomous Vehicles in Adverse Weather Conditions | ScienceToStartup | ScienceToStartup

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References (18)

[1]

Ultralytics YOLO Evolution: An Overview of YOLO26, YOLO11, YOLOv8 and YOLOv5 Object Detectors for Computer Vision and Pattern Recognition

2025Ranjan Sapkota, Manoj Karkee

[2]

A Scenario-Based Functional Testing Approach to Improving DNN Performance

2023Hong Zhu, T. T. T. Tran et al.

[3]

Adversarial Deep Learning: A Survey on Adversarial Attacks and Defense Mechanisms on Image Classification

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"Develop a tool to assess and enhance the robustness of autonomous vehicle object detection in adverse weather conditions."

Robustness in Autonomous Driving•Score: 6•View PDF ↗

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Robustness of Object Detection of Autonomous Vehicles in Adverse Weather Conditions

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References (18)

Founder's Pitch

"Develop a tool to assess and enhance the robustness of autonomous vehicle object detection in adverse weather conditions."

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Robustness of Object Detection of Autonomous Vehicles in Adverse Weather Conditions

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References (18)

Founder's Pitch

"Develop a tool to assess and enhance the robustness of autonomous vehicle object detection in adverse weather conditions."

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