Innovative Deep Learning Techniques for Obstacle Recognition: A Comparative Study of Modern Detection Algorithms
Not on the map. Why?
Abstract (arXiv)
This study explores a comprehensive approach to obstacle detection using advanced YOLO models, specifically YOLOv8, YOLOv7, YOLOv6, and YOLOv5. Leveraging deep learning techniques, the research focuses on the performance comparison of these models in real-time detection scenarios. The findings demonstrate that YOLOv8 achieves the highest accuracy with improved precision-recall metrics. Detailed training processes, algorithmic principles, and a range of experimental results are presented to validate the model's effectiveness.
Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 14 of its 17 references that are in the map. First posted on arXiv 14 Oct 2024.
Builds on
14 of 17 references.
References · 14
- 2015You Only Look Once: Unified, Real-Time Object Detectioncited by 4,829
- 2020YOLOv4: Optimal Speed and Accuracy of Object Detectioncited by 1,624
- 2024TD3 Based Collision Free Motion Planning for Robot Navigationcited by 18
- 2024Adaptive speed planning for Unmanned Vehicle Based on Deep Reinforcement Learningcited by 15
- 2024Enhancing Healthcare through Large Language Models: A Study on Medical Question Answeringcited by 14
- 2024Research on Driver Facial Fatigue Detection Based on Yolov8 Modelcited by 11
- 2024Predict Click-Through Rates with Deep Interest Network Model in E-commerce Advertisingcited by 10
- 2024Advanced User Credit Risk Prediction Model using LightGBM, XGBoost and Tabnet with SMOTEENNcited by 10
- 2024Optimizing Search Advertising Strategies: Integrating Reinforcement Learning with Generalized Second-Price Auctions for Enhanced Ad Ranking and Biddingcited by 9
- 2024Deep Learning Powered Estimate of The Extrinsic Parameters on Unmanned Surface Vehiclescited by 9
- 2024Fine-Tuning Gemma-7B for Enhanced Sentiment Analysis of Financial News Headlinescited by 8
- 2024Multi-Scenario Combination Based on Multi-Agent Reinforcement Learning to Optimize the Advertising Recommendation Systemcited by 5
Built on by
Not cited yet.