Autonomous vehicle performance in wet and dry conditions

Paper Title:

Evaluation and Optimization of Adaptive Cruise Control in Autonomous Vehicles using the CARLA Simulator: A Study on Performance under Wet and Dry Weather Conditions

Published on:

2 May 2024

Primary Category:

Robotics

Paper Authors:

Roza Al-Hindaw,

Taqwa I. Alhadidi,

Mohammad Adas

Bullets

Key Details

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Examines ACC system with depth camera, radar sensors, and PID control

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Tests system in CARLA simulator under heavy rain and no rain at noon

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Vehicles with ACC reduce speed more in wet conditions

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Longer travel times observed in rain due to slower speeds

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PID control prevents rear collisions in wet conditions

Explore the topics in this paper

adaptive cruise control

autonomous vehicles

simulation

vehicle control systems

weather conditions

AI generated summary

Autonomous vehicle performance in wet and dry conditions

This paper evaluates the performance of autonomous vehicles with adaptive cruise control (ACC) in wet and dry conditions using simulation. The ACC system uses sensors and proportional-integral-derivative (PID) control to automatically adjust vehicle speed based on the speed of a leading vehicle and safe following distance. Simulation results show reduced vehicle speeds, longer travel times, and avoidance of rear collisions in wet conditions compared to dry. This demonstrates the importance of testing autonomous vehicle systems under varied weather scenarios.