Data efficient reinforcement learning for integrated lateral planning and control in automated parking system

S Song, H Chen, H Sun, M Liu - Sensors, 2020 - mdpi.com
Reinforcement learning (RL) is a promising direction in automated parking systems (APSs),
as integrating planning and tracking control using RL can potentially maximize the overall …

[HTML][HTML] Path planning in localization uncertaining environment based on Dijkstra method

C Wang, C Cheng, D Yang, G Pan… - Frontiers in …, 2022 - frontiersin.org
Path planning obtains the trajectory from one point to another with the robot's kinematics
model and environment understanding. However, as the localization uncertaining through …

A grasp-based approach for planning uav-assisted search and rescue missions

CB Pedersen, KG Nielsen, K Rosenkrands… - Sensors, 2021 - mdpi.com
Search and Rescue (SAR) missions aim to search and provide first aid to persons in distress
or danger. Due to the urgency of these situations, it is important to possess a system able to …

Parallel parking path planning based on improved arctangent function optimization

Q Chen, L Gan, B Chen, Q Liu, X Zhang - International Journal of …, 2023 - Springer
Aiming at the problems of small parking space and poor parking effect for existing parallel
parking, this paper proposes a parallel parking path planning based on improved arctangent …

Data-driven trajectory-tracking in automated parking system via iterative learning compensation and model predictive control

S Song, S Zhang - … of the Institution of Mechanical Engineers …, 2023 - journals.sagepub.com
Automated parking system (APS) that explicitly considers the time efficiency of the motion
has received large amounts of attention in recent years. Trajectory planning module in these …

[PDF][PDF] Πάρκινγκ αυτόνομου οχήματος με χρήση αλγορίθμων βαθιάς ενισχυτικής μάθησης

Ζ Κόρδα - 2022 - dspace.lib.ntua.gr
Περίληψη Ένα ρομποτικό όχημα που πλοηγείται αυτόνομα αποτελεί έναν μακροχρόνιο στόχο
τεχνητής νοημοσύνης. Γενικότερα, η οδήγηση ενός οχήματος είναι μια εργασία που απαιτεί …

Automatic Driving Vehicle Path Planning Based on Deep Convolution Neural Network

W Pu - … Conference on Intelligent Transportation, Big Data & …, 2022 - ieeexplore.ieee.org
Autonomous vehicles need to keep a certain safe distance from obstacles. Aiming at the
problem of over fitting phenomenon in obstacle recognition, which leads to the reduction of …