Answers are grounded in this paper and cite their sources.
Analyzes speed control methods in autonomous vehicles, indicating effective performance across speed ranges.
The speed control of autonomous car is an important aspect of a driver less vehicle. This paper presents a solution for longitudinal motion speed control of autonomous vehicle. The primary objective is to achieve a smooth and safe control of speed for autonomous vehicle. This is accomplished by the design of Model Predictive Controller (MPC) which controls the speed by taking inputs from LIDAR module. The longitudinal motion of vehicle is controlled by taking into consideration the factors such as obstacles, lead vehicles and pedestrians. This leads to smooth acceleration and deceleration in various situations. The proposed system works effectively for both low and high-speed vehicles. The performance of the controller was evaluated for parameters like sample time, prediction horizon using Matlab simulations, and implemented experimentally on autonomous vehicle prototype.
No takes yet. Share an insight, caveat, or question.
Mekala et al. (2020) studied this question.
Synapse has enriched 8 closely related papers on similar clinical questions. Consider them for comparative context: