Computationally efficient fail-safe trajectory planning for self-driving vehicles using convex optimization
Ensuring the safety of self-driving vehicles is a challenging task, especially if other traffic
participants severely deviate from the predicted behavior. One solution is to ensure that the …
participants severely deviate from the predicted behavior. One solution is to ensure that the …
A belief state planner for interactive merge maneuvers in congested traffic
Autonomous driving in urban environments requires the capability of merging into narrow
gaps. In cases of high traffic density this becomes more complex since one must consider …
gaps. In cases of high traffic density this becomes more complex since one must consider …
Courteous autonomous cars
Typically, autonomous cars optimize for a combination of safety, efficiency, and driving
quality. But as we get better at this optimization, we start seeing behavior go from too …
quality. But as we get better at this optimization, we start seeing behavior go from too …
Analyzing the suitability of cost functions for explaining and imitating human driving behavior based on inverse reinforcement learning
Autonomous vehicles are sharing the road with human drivers. In order to facilitate
interactive driving and cooperative behavior in dense traffic, a thorough understanding and …
interactive driving and cooperative behavior in dense traffic, a thorough understanding and …
A decoupled trajectory planning framework based on the integration of lattice searching and convex optimization
Y Meng, Y Wu, Q Gu, L Liu - IEEE Access, 2019 - ieeexplore.ieee.org
This paper presents a decoupled trajectory planning framework based on the integration of
lattice searching and convex optimization for autonomous driving in structured …
lattice searching and convex optimization for autonomous driving in structured …
V2v-based synchronous intersection protocols for mixed traffic of human-driven and self-driving vehicles
S Aoki, R Rajkumar - … Conference on Embedded and Real-Time …, 2019 - ieeexplore.ieee.org
Self-driving vehicles are expected to be at the core of future transportation systems. Over
time, these vehicles might enhance traffic efficiency and safety, especially at road …
time, these vehicles might enhance traffic efficiency and safety, especially at road …
Trajectory prediction-based local spatio-temporal navigation map for autonomous driving in dynamic highway environments
M Fu, T Zhang, W Song, Y Yang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Autonomous driving, including intelligent decision-making and path planning, in dynamic
environments (like highway) is significantly more difficult than the navigation in static …
environments (like highway) is significantly more difficult than the navigation in static …
Trajectory planning and control of autonomous vehicles for static vehicle avoidance in dynamic traffic environments
This paper presents a trajectory planning and control algorithm of autonomous vehicles for
static traffic agent avoidance in multi vehicle urban environments. In urban autonomous …
static traffic agent avoidance in multi vehicle urban environments. In urban autonomous …
A unified framework integrating decision making and trajectory planning based on spatio-temporal voxels for highway autonomous driving
T Zhang, W Song, M Fu, Y Yang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Intelligent decision making and efficient trajectory planning are closely related in
autonomous driving technology, especially in highway environment full of dynamic …
autonomous driving technology, especially in highway environment full of dynamic …
Speed profile planning in dynamic environments via temporal optimization
To generate safe and efficient trajectories for an automated vehicle in dynamic
environments, a layered approach is usually considered, which separates path planning …
environments, a layered approach is usually considered, which separates path planning …