… the human by modeling the driver to create a more informative reachable set. … reachable
set that is useful up to some probability threshold, which we will call the empirical reachable set. …

… algorithm, where the reachable set for the initial control law is depicted in light gray and the
reachable set for the updated control law in dark gray. The predicted set of system states at …

… The trajectory unit may not be suitable for automated vehicles, therefore developing TLM
for automated vehicles is necessary. Moreover, TLM is different from a lattice planner[40] …

… The forward reachable set (FRS) is the set of states that the system could potentially be in
after some time horizon t . This is computed by propagating the dynamics combined with all …

… vehicles [12] and power networks [13], among other applications. The reachable set of a
system is the set of all possible states of the system after a certain time, given an initial set and …

… In systems that involve human-automation interactions, HJ reachability has also been
successfully demonstrated as a method for informing human decisions. In the work by Oishi et al. […

… (HVs), with the automated vehicles pursuing strategies such as platooning in order to … ,
eg, the Monte Carlo approach [4], reachable set analysis [5] and prediction of potential crash …

… In automated driving scenarios the vehicle is responsible for the control. In [21] … : Reachable
Set of a Time Interval [2]: The reachable set of a time interval is the union of reachable sets at …

… problems involving small numbers of vehicles [11 – 14]. These … ) reachability, which can
compute the backward reachable set … For the reachability computation, we define the target set to …

… ]: "If you were to test an automated car like a ’normal’ vehicle, you’d … need to be developed
for automated vehicles and the entire … Repeat computation of reachable sets for multiple, short …