… driving system, which in turn will improve driving safety because of human occupants’ trust
in it. In this paper, a combined trajectory planning … , traffic environments and driving styles are …

… , we propose a two-stage trajectory planning method that contains candidate trajectory
generation based on HDV driving style recognition, driving intention judgment, and trajectory …

… combined influence of specifications on driving style, and conducting a simulator study in
which participants evaluate the automated driving styles as generated by our motion planner. …

… investigates driving style prediction, autonomous driving planning, and … planning algorithms
lacking the capability to infer surrounding vehicles’ driving styles, we propose a driving style …

… on the trajectory planning problem of generating a kinematical and dynamically feasible path
… The problem of learning driving style from expert demonstration is formulated using inverse …

… , vehicle driving ability, and desired driver experience during … a trajectory planner that
considers three aspects: driving … the driving data of real drivers with different driving styles to …

… the trajectory planning problem as a Mixed-Integer Quadratic Program. This formulation can
be solved efficiently using widely available solvers, and the resulting trajectory … driving styles …

… in driver-assistance systems. This paper focuses on modeling lane-change behavior as a
dynamic model and planning safe and feasible lane-change trajectories … different driving styles …

… In conclusion, metaheuristics are rarely used in autonomous driving trajectory planning
problems. Gradient-based optimizers are classified into two types based on the way constraints …

… evaluated the driving styles by normalizing driving behaviors based … driving system, we
need to combine the characteristics of different drivers and consider the direct response of drivers …