Open-Source Tool of Vector Map for Path Planning in Autoware Autonomous Driving Software

2019 ◽  
Author(s):  
Wai Nwe Tun ◽  
Sangho Kim ◽  
Jae-Woo Lee ◽  
Hatem Darweesh
Keyword(s):  
Path Planning ◽  
Open Source ◽  
Autonomous Driving ◽  
Open Source Tool ◽  
Vector Map

scholarly journals Assessment of the regionalised demand response potential in Germany using an open source tool and dataset

2020 ◽  
pp. 100001
Author(s):  
Wilko Heitkoetter ◽  
Bruno U. Schyska ◽  
Danielle Schmidt ◽  
Wided Medjroubi ◽  
Thomas Vogt ◽  
...  
Keyword(s):  
Open Source ◽  
Demand Response ◽  
Open Source Tool

scholarly journals Online Local Path Planning on the Campus Environment for Autonomous Driving Considering Road Constraints and Multiple Obstacles

2021 ◽  
Vol 11 (9) ◽  
pp. 3909
Author(s):  
Changhyeon Park ◽  
Seok-Cheol Kee
Keyword(s):  
Path Planning ◽  
Driving Simulator ◽  
Autonomous Driving ◽  
Campus Environment ◽  
Vehicle Localization ◽  
Time Operation ◽  
National University ◽  
Planning Algorithm ◽  
Path Planning Algorithm ◽  
Multiple Obstacles

In this paper, an urban-based path planning algorithm that considered multiple obstacles and road constraints in a university campus environment with an autonomous micro electric vehicle (micro-EV) is studied. Typical path planning algorithms, such as A*, particle swarm optimization (PSO), and rapidly exploring random tree* (RRT*), take a single arrival point, resulting in a lane departure situation on the high curved roads. Further, these could not consider urban-constraints to set collision-free obstacles. These problems cause dangerous obstacle collisions. Additionally, for drive stability, real-time operation should be guaranteed. Therefore, an urban-based online path planning algorithm, which is robust in terms of a curved-path with multiple obstacles, is proposed. The algorithm is constructed using two methods, A* and an artificial potential field (APF). To validate and evaluate the performance in a campus environment, autonomous driving systems, such as vehicle localization, object recognition, vehicle control, are implemented in the micro-EV. Moreover, to confirm the algorithm stability in the complex campus environment, hazard scenarios that complex obstacles can cause are constructed. These are implemented in the form of a delivery service using an autonomous driving simulator, which mimics the Chungbuk National University (CBNU) campus.

An open-source tool for visualization of climate mitigation scenarios: Mipplot

2021 ◽  
Vol 139 ◽  
pp. 105001 ◽  
Author(s):  
Yiyi Ju ◽  
Masahiro Sugiyama ◽  
Diego Silva Herran ◽  
Jiayang Wang ◽  
Akimitsu Inoue
Keyword(s):  
Open Source ◽  
Climate Mitigation ◽  
Open Source Tool ◽  
Mitigation Scenarios

MotilityJ: An Open-Source Tool for the Classification and Segmentation of Bacteria on Motility Images

2021 ◽  
pp. 104673
Author(s):  
Ángela Casado-García ◽  
Gabriela Chichón ◽  
César Domínguez ◽  
Manuel García-Domínguez ◽  
Jónathan Heras ◽  
...  
Keyword(s):  
Open Source ◽  
Open Source Tool

Retina: An open-source tool for flexible analysis of RTC traffic

2021 ◽  
pp. 108637
Author(s):  
Gianluca Perna ◽  
Dena Markudova ◽  
Martino Trevisan ◽  
Paolo Garza ◽  
Michela Meo ◽  
...  
Keyword(s):  
Open Source ◽  
Open Source Tool

Composing HARMONI: An Open-source Tool for Human and Robot Modular OpeN Interaction

2021 ◽  
Author(s):  
Micol Spitale ◽  
Chris Birmingham ◽  
R. Michael Swan ◽  
Maja J Mataric
Keyword(s):  
Open Source ◽  
Open Source Tool
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