Add to ORKGAbstract — This paper presents a comparison of Stop & Go control algorithms, which deal with car following scenarios in urban environments. Since many vehicle/road interaction factors (road slope, aerodynamic forces) and actuator dynamics are very poorly known, two robust control strategies are proposed: an intelligent PID controller and a fuzzy controller. Both model-free techniques will be implemented and compared in simulation to show their suitability for demanding scenarios. I
[[abstract]]An optimal control strategy designed for an autopilot system to aid driving pattern simu...
The design of a fuzzy controller entails the concept of input-output fuzzy variables, decision-makin...
Research on adaptive cruise control (ACC) with Stop&Go maneuvers is presently one of the most import...
The aim of this work was twofold: on the one hand, to describe a comparative study of two intelligen...
Abstract—The aim of this work was twofold: on the one hand, to describe a comparative study of two i...
International audienceIn the last years, several intelligent systems have been deployed in mass-prod...
During the last years, our group has worked on real-time formulations for the dynamics of multi-body...
This paper describes the graphical simulation of a traffic environment. The environment includes str...
International audienceThis paper presents a robust stop-and-go control law, especially well adapted ...
Autonomous driving has the potential to revolutionize mobility and transportation by reducing road a...
Future cities will be even more crowded than citiesof today, implying that new technological advance...
This project explored the feasibility of using measured responses of a passenger car together with a...
Advanced Driver Assistance Systems (ADAS) acting over throttle and brake are already available in le...
Abstract—Research on adaptive cruise control (ACC) with Stop&Go maneuvers is presently one of th...
ABSTRACT: This paper presents about the development of an Antilock Braking System (ABS) using quart...
[[abstract]]An optimal control strategy designed for an autopilot system to aid driving pattern simu...
The design of a fuzzy controller entails the concept of input-output fuzzy variables, decision-makin...
Research on adaptive cruise control (ACC) with Stop&Go maneuvers is presently one of the most import...
The aim of this work was twofold: on the one hand, to describe a comparative study of two intelligen...
Abstract—The aim of this work was twofold: on the one hand, to describe a comparative study of two i...
International audienceIn the last years, several intelligent systems have been deployed in mass-prod...
During the last years, our group has worked on real-time formulations for the dynamics of multi-body...
This paper describes the graphical simulation of a traffic environment. The environment includes str...
International audienceThis paper presents a robust stop-and-go control law, especially well adapted ...
Autonomous driving has the potential to revolutionize mobility and transportation by reducing road a...
Future cities will be even more crowded than citiesof today, implying that new technological advance...
This project explored the feasibility of using measured responses of a passenger car together with a...
Advanced Driver Assistance Systems (ADAS) acting over throttle and brake are already available in le...
Abstract—Research on adaptive cruise control (ACC) with Stop&Go maneuvers is presently one of th...
ABSTRACT: This paper presents about the development of an Antilock Braking System (ABS) using quart...
[[abstract]]An optimal control strategy designed for an autopilot system to aid driving pattern simu...
The design of a fuzzy controller entails the concept of input-output fuzzy variables, decision-makin...
Research on adaptive cruise control (ACC) with Stop&Go maneuvers is presently one of the most import...