Fuzzy Logic Based Collision Avoidance System for Autonomous Navigation Vehicle

El–sayed, H.M.; Abdullah, Bassem A.; Aly, Gamal M.

doi:10.1109/icces.2018.8639396

Cited by 12 publications

(2 citation statements)

References 31 publications

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“…Elsayed et al [123] used fuzzy logic control for obstacle avoidance maneuvers; the control task was divided into collision detection and then decision-making. Each of the tasks was performed by a fuzzy controller; the obstacle distance and angle were chosen as inputs for the obstacle detection module, and the outputs were steering maneuver and safe cruising speed.…”

Section: Fuzzy Logic Controlmentioning

confidence: 99%

Lateral control for autonomous wheeled vehicles: A technical review

Kebbati

Ait-Oufroukh

Ichalal

et al. 2022

Asian Journal of Control

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Autonomous driving has the ability to reshape mobility and transportation by reducing road accidents, traffic jams, and air pollution. This can yield energy efficiency, convenience, and more productivity as significant driving time will be gained and used in other activities instead. Autonomous vehicles are complex systems consisting of several modules that perform perception, decision-making, planning, and control. Control is essential for achieving automatic driving; it is basically divided into longitudinal control that handles speed tracking and lateral control which ensures accurate steering. The latter is primordial in path tracking applications and recent research has witnessed a huge leap in this field. The aim of this paper is to provide a technical survey of the latest research on the lateral control of autonomous vehicles as well as to highlight technical challenges and limits for further developments.

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Section: Fuzzy Logic Controlmentioning

confidence: 99%

Lateral control for autonomous wheeled vehicles: A technical review

Kebbati

Ait-Oufroukh

Ichalal

et al. 2022

Asian Journal of Control

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“…Indeed, those can be as uncomplicated or difficult as the designer's abilities. More details of artificial intelligent schemes applied on local path development of autonomous vehicles can be found in [34,35] and the references therein. Unfortunately, the implementation of these artificial intelligence techniques into real time processors is still bulky and complicated.…”

mentioning

confidence: 99%

Local Path Planning for Autonomous Vehicles Based on the Natural Behavior of the Biological Action-Perception Motion

et al. 2022

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Local path planning is a key task for the motion planners of autonomous vehicles since it commands the vehicle across its environment while avoiding any obstacles. To perform this task, the local path planner generates a trajectory and a velocity profile, which are then sent to the vehicle’s actuators. This paper proposes a new local path planner for autonomous vehicles based on the Attractor Dynamic Approach (ADA), which was inspired by the behavior of movement of living beings, along with an algorithm that takes into account four acceleration policies, the ST dynamic vehicle model, and several constraints regarding the comfort and security. The original functions that define the ADA were modified in order to adapt it to the non-holonomic vehicle’s constraints and to improve its response when an impact scenario is detected. The present approach is validated in a well-known simulator for autonomous vehicles under three representative cases of study where the vehicle was capable of generating local paths that ensure the security of the vehicle in such cases. The results show that the approach proposed in this paper is a promising tool for the local path planning of autonomous vehicles since it is able to generate trajectories that are both safe and efficient.

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Design of Driverless Racing Chassis Based on MPC

Yan-bo

Shi

et al. 2020

2020 Chinese Automation Congress (CAC)

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Fuzzy Logic Based Collision Avoidance System for Autonomous Navigation Vehicle

Cited by 12 publications

References 31 publications

Lateral control for autonomous wheeled vehicles: A technical review

Lateral control for autonomous wheeled vehicles: A technical review

Local Path Planning for Autonomous Vehicles Based on the Natural Behavior of the Biological Action-Perception Motion

Design of Driverless Racing Chassis Based on MPC

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