… the three relevant levels of the ECOM hierarchy and, in the car-driving case, describes the
awareness of traffic signs and signals, as well as road vehicle orientations and positions in the …

… scenarios, the factors we consider for trajectory planning include the egovehicle dynamics,
the surrounding obstacles dynamics, as well as the stationery environmental obstacles. For …

… vehicles, we propose a hierarchical IRL-based framework to model the driving behavior
at three levels: driving … The predicted driving behavior is integrated in a chance-constrained …

… In this paper we focus on the inference for driving intentions and propose a hierarchical
scheme to address the above problems. The upper module uses parallel recurrent neural …

… of driver–vehicle cooperation to automated driving systems. To meet this challenge, we
propose a hierarchical … Driver’s intention detection at the tactical level places a detector on the …

… control authorities with the human driver. This paper provides an overview of the ego-vehicle
driver intention inference (DII), which mainly focuses on the lane change intention on …

… due to the widespread ownership and driving of motorized vehicles in urban areas. National
… restrict the excessive utilization of private motorized vehicles, and concurrently promote the …

… progress in Behavioral Intention Prediction (BIP) for both pedestrians and vehicles, where …
intentions and motions of surrounding vehicles, which is fulfilled by a multi-modal hierarchical …

… Furthermore, the effect of communication timing on the intention recognition time was tested
with a hierarchical linear regression (RQII). The results showed a significant effect of timing, …

… driving behaviors in multi-agent dense-traffic environments. Our method hierarchically consists
of a high-level intention … predict the intention and future trajectory of the ego vehicle and …