Search Results for author: Jinjun Shan

Found 7 papers, 3 papers with code

A Factor Graph Model of Trust for a Collaborative Multi-Agent System

no code implementations10 Feb 2024 Behzad Akbari, Mingfeng Yuan, Hao Wang, Haibin Zhu, Jinjun Shan

In the field of Multi-Agent Systems (MAS), known for their openness, dynamism, and cooperative nature, the ability to trust the resources and services of other agents is crucial.

Bayesian Inference

GPT-4 and Safety Case Generation: An Exploratory Analysis

no code implementations9 Dec 2023 Mithila Sivakumar, Alvine Boaye Belle, Jinjun Shan, Kimya Khakzad Shahandashti

These experiments are designed to assess its capacity for generating safety cases within a defined system and application domain.

GPT-4

MV-DeepSDF: Implicit Modeling with Multi-Sweep Point Clouds for 3D Vehicle Reconstruction in Autonomous Driving

no code implementations ICCV 2023 Yibo Liu, Kelly Zhu, Guile Wu, Yuan Ren, Bingbing Liu, Yang Liu, Jinjun Shan

This set-level latent code is an expression of the optimal 3D shape in the implicit space, and can be subsequently decoded to a continuous SDF of the vehicle.

3D Reconstruction Autonomous Driving

Occlusion-Resistant LiDAR Fiducial Marker Detection

1 code implementation2 Sep 2022 Yibo Liu, Jinjun Shan, Hunter Schofield

The LiDAR fiducial marker, akin to the well-known AprilTag used in camera applications, serves as a convenient resource to impart artificial features to the LiDAR sensor, facilitating robotics applications.

Intensity Image-based LiDAR Fiducial Marker System

1 code implementation3 Mar 2022 Yibo Liu, Hunter Schofield, Jinjun Shan

In this paper, an Intensity Image-based LiDAR Fiducial Marker (IILFM) system is developed.

Autonomous Vision-based UAV Landing with Collision Avoidance using Deep Learning

no code implementations17 Sep 2021 Tianpei Liao, Amal Haridevan, Yibo Liu, Jinjun Shan

There is a risk of collision when multiple UAVs land simultaneously without communication on the same platform.

Collision Avoidance

Application of Ghost-DeblurGAN to Fiducial Marker Detection

1 code implementation8 Sep 2021 Yibo Liu, Amaldev Haridevan, Hunter Schofield, Jinjun Shan

Feature extraction or localization based on the fiducial marker could fail due to motion blur in real-world robotic applications.

Deblurring Generative Adversarial Network +1

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