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Rethinking integration of prediction and planning in deep learning-based automated driving systems: a review
S Hagedorn, M Hallgarten, M Stoll… - ar** an advanced driving assistance system is to learn human-like
decisions to enhance driving safety. When controlling a vehicle, joining roundabouts …
decisions to enhance driving safety. When controlling a vehicle, joining roundabouts …
Hierarchical deep reinforcement learning-based propofol infusion assistant framework in anesthesia
This article aims to provide a hierarchical reinforcement learning (RL)-based solution to the
automated drug infusion field. The learning policy is divided into the tasks of: 1) learning …
automated drug infusion field. The learning policy is divided into the tasks of: 1) learning …
Learning vision based autonomous lateral vehicle control without supervision
Supervised deep learning methods using image data as input have shown promising results
in the context of vehicle control. However, these supervised methods have two main …
in the context of vehicle control. However, these supervised methods have two main …
Enhancing State Estimator for Autonomous Race Car: Leveraging Multi-modal System and Managing Computing Resources
This paper introduces an innovative approach to enhance the state estimator for high-speed
autonomous race cars, addressing challenges related to unreliable measurements …
autonomous race cars, addressing challenges related to unreliable measurements …
Mitigating Causal Confusion in Vector-Based Behavior Cloning for Safer Autonomous Planning
J Guo, M Feng, P Zhu, J Dou, D Feng… - … on Robotics and …, 2024 - ieeexplore.ieee.org
The utilization of vector-based deep learning techniques has great prospects in the realm of
autonomous driving, particularly in the domains of prediction and planning tasks. However …
autonomous driving, particularly in the domains of prediction and planning tasks. However …
Approach to improving training of human workers in industrial applications through the use of intelligence augmentation and human-in-the-loop
B Maettig, H Foot - … on Computer Science & Education (ICCSE), 2020 - ieeexplore.ieee.org
Training employees for industrial processes is a major challenge in the industry. There are
different approaches to meet this challenge. In practice, however, we often observe that …
different approaches to meet this challenge. In practice, however, we often observe that …
Autonomous driving based on modified sac algorithm through imitation learning pretraining
M Gao, DE Chang - 2021 21st international conference on …, 2021 - ieeexplore.ieee.org
In this paper, we implement a modified SAC [1] algorithm for autonomous driving tasks using
the simulator AirSim's [2] environment API which provides various weather, collision, and …
the simulator AirSim's [2] environment API which provides various weather, collision, and …