Intent-estimation-and motion-model-based collision avoidance method for autonomous vehicles in urban environments

R Huang, H Liang, P Zhao, B Yu, X Geng - Applied Sciences, 2017 - mdpi.com
Existing collision avoidance methods for autonomous vehicles, which ignore the driving
intent of detected vehicles, thus, cannot satisfy the requirements for autonomous driving in …

Longitudinal model predictive control with comfortable speed planner

JA Matute, M Marcano, A Zubizarreta… - 2018 IEEE international …, 2018 - ieeexplore.ieee.org
Guaranteeing simplicity and safety is a real challenge of Advanced Driver Assistance
Systems (ADAS), being these aspects necessary for the development of decision and …

Do autonomous vehicle driving styles affect user state?: A preliminary investigation

Y Shi, W Huang, F Cheli… - … and Information in …, 2019 - asmedigitalcollection.asme.org
A bursting number of achievements in the autonomous vehicle industry have been obtained
during the past decades. Various systems have been developed to make automated driving …

Incorporating vertical acceleration for defining driving behaviour

L Eboli, G Mazzulla, G Pungillo - International Journal of Information …, 2019 - igi-global.com
Acceleration of a vehicle is composed of three components: longitudinal, lateral, and vertical
acceleration. Longitudinal and lateral accelerations have been frequently considered as …

Control architecture for adaptive and cooperative car-following

C Flores - 2018 - pastel.hal.science
Recent widespread adoption of vehicle automation and introduction of vehicle-to-vehicle
connectivity has opened the doors for techniques as Cooperative Adaptive Cruise Control …

[引用][C] Feet Control in a Level 4 Autonomous Vehicle

S de Vos, S San Nguyen, V Hijkoop, T Vermeulen