M Jamal, A Panov - Artificial Intelligence XXXVIII: 41st SGAI International …, 2021 - Springer
In safety-critical systems such as autonomous driving systems, behavior planning is a significant challenge. The presence of numerous dynamic obstacles makes the driving …
This paper proposes a novel MDP framework to deal with the accuracy of the motorcycle driving model. It proposes a weighted and unweighted Dynamical-Discretized Reward Field …
Autonomous vehicles need to accomplish their tasks while interacting with human drivers in traffic. It is thus crucial to equip autonomous vehicles with artificial reasoning to better …
Real-time planning and control play essential roles in autonomous driving under the structured environments. In this paper, a hierarchical planning and control framework is …
Autonomous vehicles have to navigate the surrounding environment with partial observability of other objects sharing the road. Sources of uncertainty in autonomous vehicle …
Y Akagi, P Raksincharoensak - 2016 IEEE Intelligent Vehicles …, 2016 - ieeexplore.ieee.org
This paper presents a longitudinal and lateral motion planning method for driver assistance systems in urban scenarios. We proposed a Bayesian network based motion planner to …
Decision-making is a crucial challenge on the way to autonomous systems, including robots and self-driving vehicles. In real-life tasks, dynamics play a critical role and the ability to …
The comprehension of a traffic situation plays a major role in driving a vehicle. Interpretable information forms a basis for future projection, decision making and action performing, such …