… a convex-optimizationbased method to solve speed planning problems over a fixed path for
autonomous … In this way, the autonomous vehicle has already reached position B by the time …

… cooptimization … convex optimization approaches are developed subject to a FIFO policy.
Moreover, [24] presents a multi-objective optimization method focusing on coordinating vehicles …

… convex. Inposing the combined time window seems straight-forward to do but will lead to a
non-convex optimization problem, which makes our optimization … the autonomous vehicle has …

… This simplification is not suitable for autonomous vehicles with a more complex shape. In
Ref. [16], trajectories for path following under various time-varying constraints are …

… optimization problems. SCP is an iterative algorithm which solves a sequence of convex
optimization … the proposed convex approximation using SCR for autonomous vehicle racing with …

… In this paper, an autonomous vehicle motion control system is proposed of non-convex
optimization based model predictive control (MPC) system for collision avoidance and lane …

… motion of an autonomous vehicle in presence of … convex optimization modelling of the
proposed planning method. Our future work is related to apply this idea to a network of vehicles …

… that autonomous vehicles do not cause collisions by using fail-safe trajectories. Fail-safe
trajectories are executed if the intended motion of the autonomous vehicle … on an actual vehicle. …

… When we factor in the energy requirements of powerful CPUs and the fact that trajectory
generation is a small part of all the tasks that an autonomous vehicle must perform, it becomes …

… Convex optimization potentially offers several improvements to existing negative obstacle
… The research methodology in section III elaborates on the convex optimization framework …