… and the interaction among surrounding vehicles. Considering the changes of driving behavior,
a novel BRAM-ED trajectory prediction framework is proposed in this article, shown in Fig. …

… warning in advanced driver assistance systems(ADAS). This paper proposes a trajectory
prediction approach for a lane changing vehicle considering high-level driver status. A driving …

… is very important to improve the accuracy of vehicle trajectory prediction, so this paper will
take vehicle behavior recognition into … prediction based on driving behavior, and trajectory …

… we analyse trajectory prediction system performance for both driver profile and driving
performance. … In Table 2, we compare the driving performance (ie, driving behaviour observations …

… vehicle motion model that explicitly considers driver behavior for vehicle tracking and prediction
… In this study, a vehicle motion prediction model considering driver behavior is described …

… Section IV discusses the commonly used evaluation metrics, compares the performance
of several well-known trajectory prediction models in public highway driving datasets, and …

… Moreover, the existence of different goals and driving behaviors induces multiple
potential futures. We exploit a combination of global and partial attention paid to surrounding …

… In [188], using camera image, the driving behavior is modeled by DIRL, where the CNN
is to extract the associated state features. Zhu et al. [189] use RL ConvNet and state visiting …

… driving scene-driving behavior mapping pairs, where driving behavior is described as a rule
head, and the driving … link of mapping driving scene to the driving behavior and reorganizes …

… vehicle trajectory prediction as estimating future trajectory distributions given past trajectories…
To verify the effectiveness of each module on the vehicle trajectory prediction, we train …