… predicting the remaining time to an upcoming lane change of adjacent vehicles on a highway…
predict lane changes on highways. The problem is thereby treated as time series analysis. …

… and trajectory prediction. The proposed model can be trained and used to detect lane
changes as soon as they are observed, and to predict them before the lane change maneuver is …

… The performance of an IMM-based algorithm for predicting lane changes in highways has
been presented in this paper. A number of model sets were tested in real road circuits with …

… an approximation of the intersection between the reachable set of E and the predicted safe
lane change region of the inter-vehicle traffic gap ie the space that is not possessed by any , …

… in this paper for lane change behavior prediction in highways, … There are two sections in this
prediction model, including a … , and a multi-step lane change prediction model of LSTM with …

… the safety of lane changes on highways and for computing safe lane change trajectories. This
… The presented algorithm is based on recent results in Scenario Model Predictive Control (…

… of the MMAE in inferring lane-change intentions and predicting future trajectories using
highD, which is a vehicle trajectory dataset on a German highway. Specifically, highD is a …

… Scenario-Based Model Predictive Control In this paper, two SCMPC algorithms for
performing safe lane change maneuvers on highways are introdu ced: one for lane change …

… ABSTRACT This paper presents a lane change decision algorithm for predictive decision-making
for an autonomous vehicle using a Recurrent Neural Network (RNN) with a …

… This work focuses on lane change intention prediction on highways. The goal is to predict
whether the ego vehicle will make a lane change and in which direction, based on sensor data…