Toward a more complete, flexible, and safer speed planning for autonomous driving via convex optimization
Y Zhang, H Chen, SL Waslander, T Yang, S Zhang… - Sensors, 2018 - mdpi.com
In this paper, we present a complete, flexible and safe convex-optimization-based method to
solve speed planning problems over a fixed path for autonomous driving in both static and …
solve speed planning problems over a fixed path for autonomous driving in both static and …
Speed planning for autonomous driving via convex optimization
Y Zhang, H Chen, SL Waslander… - 2018 21st …, 2018 - ieeexplore.ieee.org
In this paper, we present a convex-optimization-based method to solve speed planning
problems over a fixed path for autonomous driving in both static and dynamic environments …
problems over a fixed path for autonomous driving in both static and dynamic environments …
Smooth behavioral estimation for ramp merging control in autonomous driving
Cooperative driving behavior is essential for driving in traffic, especially for ramp merging,
lane changing or navigating intersections. Autonomous vehicles should also man-age these …
lane changing or navigating intersections. Autonomous vehicles should also man-age these …
Trajectory planning with shadow trolleys for an autonomous vehicle on bending roads and switchbacks
In automated driving, the road geometry information such as waypoints is usually available
from previously stored maps. In this paper, we present a scenario based Model Predictive …
from previously stored maps. In this paper, we present a scenario based Model Predictive …
Spatiotemporally Consistent Smooth Speed Profiles for Autonomous Driving
BC Heinrich, A Frericks… - 2018 21st International …, 2018 - ieeexplore.ieee.org
Graph-based trajectory planning algorithms such as A*, Dijkstra or RRT use motion
primitives to generate obstacle-free trajectories. A common method is the use of piecewise …
primitives to generate obstacle-free trajectories. A common method is the use of piecewise …