7 papers
SC-MII: Infrastructure LiDAR-based 3D Object Detection on Edge Devices for Split Computing with Multiple Intermediate Outputs Integration
Taisuke Noguchi, Takayuki Nishio, Takuya Azumi
3D object detection using LiDAR-based point cloud data and deep neural networks is essential in autonomous driving technology. However, deploying state-of-the-art models on edge de…
Parallelized Code Generation from Simulink Models for Event-driven and Timer-driven ROS 2 Nodes
Kenshin Obi, Ryo Yoshinaka, Hiroshi Fujimoto +1
In recent years, the complexity and scale of embedded systems, especially in the rapidly developing field of autonomous driving systems, have increased significantly. This has led…
Model-based Development for Autonomous Driving Software Considering Parallelization
Kenshin Obi, Takumi Onozawa, Hiroshi Fujimoto +1
In recent years, autonomous vehicles have attracted attention as one of the solutions to various social problems. However, autonomous driving software requires real-time performanc…
D-AWSIM: Distributed Autonomous Driving Simulator for Dynamic Map Generation Framework
Shunsuke Ito, Chaoran Zhao, Ryo Okamura +1
Autonomous driving systems have achieved significant advances, and full autonomy within defined operational design domains near practical deployment. Expanding these domains requir…
AUTOSAR AP and ROS 2 Collaboration Framework
Ryudai Iwakami, Bo Peng, Hiroyuki Hanyu +2
The field of autonomous vehicle research is advancing rapidly, necessitating platforms that meet real-time performance, safety, and security requirements for practical deployment.…
3D Point Cloud Object Detection on Edge Devices for Split Computing
Taisuke Noguchi, Takuya Azumi
The field of autonomous driving technology is rapidly advancing, with deep learning being a key component. Particularly in the field of sensing, 3D point cloud data collected by Li…