… Based on Bando’s model, an improved model for autonomous vehicle with an adjustable …
the sensitivity of sensor equipped on the autonomous vehicle. It is adjustable according to the …

… a market penetration model for autonomous vehicle (AV) … conventional automobiles and
hybrid electric vehicles, and the use … vehicles) and economic wealth were incorporated into the …

… model was to describe how to drive an autonomous vehicle. Actually driving a vehicle requires
that the driving model be … The model must specify how all knowledge is encoded and how …

… obstacle avoidance scheme for autonomous vehicles as an active … model predictive
framework, in which the simplified dynamics of the vehicle are used to predict the state of the vehicle …

… traveling and parking with autonomous vehicles (AVs) under a … We prove the equivalence
between the proposed VI model … Different from previous works, this study develops a VI model …

… and scalar sensor-based model car is designed and implemented to accomplish autonomous
driving on a specified track by employing a lightweight deep learning model. It can identify …

… In this paper, a human-like car-following model for cut-in situations is proposed, which is
designed for autonomous vehicles. Unlike previous car-following models, the proposed model …

… To improve the safety and efficiency of autonomous vehicles, this paper proposed a MOP
decision-making model based on efficient conflict resolution for autonomous vehicles at urban …

… In this work, we propose a Model Predictive Control based path planner for autonomous
vehicles in structured driving environments. The proposed planner automatically decides the …

… route planning for autonomous vehicles. This research aims to determine the best position
for providing MLC instruction to autonomous vehicles. In this article, an optimization model is …