… In this paper, the driver model is adopted to deal with the problem of trajectory planning,
then κctrl denotes curvature of the path to be planned. Vx and Vy are longitudinal and lateral …

… To integrate the concept of a maximum acceptable risk criterion in AV trajectory planning,
we build up on a samplingbased approach to trajectory planning [40]. In general, the planning …

… In this paper, we solve the trajectory planning problem with a fixed risk allocation; other works
have presented approaches for “outer loops” that optimize the risk allocation [15], [24], [25]. …

… collision risk assessment issues, the set-based method was widely adopted to plan the
trajectory of … In this paper, motion planning with LSTM trajectory prediction was utilized to avoid …

… For this purpose, path planning becomes a crucial aspect and, for this reason, this work
aims to offer a general vision of trajectory planning, to establish a comparison between the …

… automated trajectory planning. We present a systematic review of automated trajectory planning
… score is equivalent to the ground truth of expected risk, the evidence from this systematic …

… designs a pragmatic dynamic trajectory planning model for lane-… a flexible lane-changing
trajectory planning method is proposed to … planning method will not take risks to plan one more …

… To address the gaps in the literature mentioned above, a risk assessment model and risk-based
path planning method is proposed in this paper. Our main contributions of the present …

… of trajectory planning and trajectory following according to the surrounding risk factors,
the vehicles’ capabilities as well as tyre/road interaction situations. However, pure trajectory …

… on the motion of the robot, we employ a formulation in which we find a trajectory which
minimizes the Conditional Value-at-Risk (CVaR) [33]. Because CVaR captures the expected cost …