… for automated vehicles often … the vehicle must react in a timely manner. We present a novel
motion planning approach for automated vehicles, which combines set-based reachability …

… In order to verify the minimal time gap tgap, we can determine reachable sets of the other
vehicles and test them against the occupancy of the intended ego trajectory for τenter + tgap (…

… compliant reachable sets for a considered ego vehicle. Our overapproximative reachable
sets … attached to the reachable sets. An exemplary handcrafted rule can be described as “follow …

… using reachable sets, ie, sets of states that the ego vehicle … By only creating samples within
the collisionfree reachable sets, … reachable sets for trajectory planning of automated vehicles,” …

… of time-varying occupancies of all obstacles Ok ⊂ R2 at step k, we define the set of … reachable
set of the ego vehicle at step k is defined as the set of states reachable from the initial set …

… which cells are reachable from which cells … reachable sets propagated from multiple points
in time. We demonstrate our approach on a large range of scenarios for automated vehicles …

… shown that using the reachable set of the ego vehicle to obtain … reachable set of the ego
vehicle, we adopt the polytopic set … As a set representation, this method uses Cartesian products …

… estimator would help a traded-control system to decide the appropriate automation level
based on … This work presents a reachability estimation algorithm to create a set of trajectories …

… Highly automated vehicles (HAVs) must be rigorously evaluated before they are deployed …
combining reachability analysis with importance sampling. For a target scenario, reachability …

… This motivates automatic generation of critical test cases for automated vehicles— in this work,
… After introducing the set of input trajectories U, we define the anticipated reachable set as …