… Minimum risk trajectory using MILP for 23rd scenario … Minimum risk trajectory using
visibility approach for 23rd scenario 163 6.14 Minimum risk trajectory using probabilistic local …

… trajectory planning information of the surrounding vehicle) and standard deviation. For a
single future time instant, the collision probability can now be calculated as the double integral …

… The fire risk of open storage has always been a key concern for decision-makers in the … the
temperature of each stack and has measured the risk of fire. Thanks to the rapid development …

… ship domain, (8) is used to calculate the risk of collision between two ships; then the algorithm
optimizes collision avoidance and the optimal trajectory, as in Figure 8, to comply with the …

… to overtake the car in front of it that is moving at a speed of 10 m/s, considering that no
overtaking planning has been performed, by analyzing the risk of overtaking. In creating a new …

… In our practical context (long-range trajectory planning), the autopilot can compute the
controls that are needed for the aircraft to follow a route at the calculated airspeeds and altitudes, …

… Similarly, Burger and Lauer used MIQP in cooperative multiple vehicle trajectory planning…
individual motion planning [31]. MIQP has been utilized in robot motion planning and trajectory …

This paper presents a new approach for the inclusion of human expert cognition into
autonomous trajectory planning for unmanned aerial systems (UASs) operating in low-altitude …

… The ISO 26262 [5] standard offers methods to assess the potential risk and suggests … However,
some of the approaches are tailored to a specific SW (eg, a certain trajectory planner) and …

… Fast reaction time is also important in an emergency, but approaches to the trajectory planning
… This change reduces the risk that the vehicle experiences significant limit oversteer while …