Survey of Autonomous Vehicles’ Collision Avoidance Algorithms

Survey of Autonomous Vehicles’ Collision Avoidance Algorithms

Since the field of autonomous vehicles is developing quickly, it is becoming increasingly crucial for them to safely and effectively navigate their surroundings to avoid collisions. The primary collision avoidance algorithms currently employed by self-driving cars are examined in this thorough surve...

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Bibliographic Details
Main Authors: Meryem Hamidaoui, Mohamed Zakariya Talhaoui, Mingchu Li, Mohamed Amine Midoun, Samia Haouassi, Djamel Eddine Mekkaoui, Abdelkarim Smaili, Amina Cherraf, Fatima Zahra Benyoub
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Sensors
Subjects:
collision avoidance
autonomous vehicles
path planning
sensor-based approaches
decision-making
machine learning
Online Access:https://www.mdpi.com/1424-8220/25/2/395
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