This paper investigates the application of adaptive reachability analysis in the navigation and decision-making processes of autonomous driving systems, emphasizing its role in ensuring safe and efficient vehicle operation in complex environments. Reachability, defined as the set of all possible states a vehicle can attain within given physical and operational constraints, serves as a fundamental tool for evaluating safe trajectories in dynamic and uncertain scenarios. The proposed approach is systematically compared with prior methodologies [1,2,3,4,5] in reachability analysis, demonstrating notable improvements in computational efficiency and accuracy.
| Mualliflar | Abdukhalilova Sadokatkhon Ikromjon kizi,, Sadikjanov Jakhongirbek Shukhratbek ugli, |
|---|---|
| Jurnal | Innores |
| Nashr sanasi | 2025-05-31 |
| Jild | 1 |
| Son | 2 |
| Betlar | 69-75 |
| Til | Ingliz |
Reachability, autonomous driving, decision-making process, Monte-Carlo simulations, collision avoidance.
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