Search Results for author: Zhenyi Liu

Found 8 papers, 1 papers with code

ChatSOS: LLM-based knowledge Q&A system for safety engineering

no code implementations14 Dec 2023 Haiyang Tang, Zhenyi Liu, Dongping Chen, Qingzhao Chu

We employed prompt engineering to incorporate external knowledge databases, thus enriching the LLM with up-to-date and reliable information.

Prompt Engineering

Using simulation to quantify the performance of automotive perception systems

no code implementations2 Mar 2023 Zhenyi Liu, Devesh Shah, Alireza Rahimpour, Devesh Upadhyay, Joyce Farrell, Brian A Wandell

The simulation can be used to characterize system performance or to test its performance under conditions that are difficult to measure (e. g., nighttime for automotive perception systems).

object-detection Object Detection

ISETAuto: Detecting vehicles with depth and radiance information

no code implementations6 Jan 2021 Zhenyi Liu, Joyce Farrell, Brian Wandell

(1) When the spatial sampling resolution of the depth map and radiance image are equal to typical camera resolutions, a ResNet detects vehicles at higher average precision from depth than radiance.

Autonomous Driving

Vehicle Reconstruction and Texture Estimation Using Deep Implicit Semantic Template Mapping

no code implementations30 Nov 2020 Xiaochen Zhao, Zerong Zheng, Chaonan Ji, Zhenyi Liu, Siyou Lin, Tao Yu, Jinli Suo, Yebin Liu

We introduce VERTEX, an effective solution to recover 3D shape and intrinsic texture of vehicles from uncalibrated monocular input in real-world street environments.

Neural Network Generalization: The impact of camera parameters

no code implementations8 Dec 2019 Zhenyi Liu, Trisha Lian, Joyce Farrell, Brian Wandell

We quantify the generalization of a convolutional neural network (CNN) trained to identify cars.


Soft Prototyping Camera Designs for Car Detection Based on a Convolutional Neural Network

1 code implementation24 Oct 2019 Zhenyi Liu, Trisha Lian, Joyce Farrell, Brian Wandell

It is better to evaluate camera designs for CNN applications using soft prototyping with task-specific metrics rather than consumer photography metrics.

Demosaicking object-detection +1

Cannot find the paper you are looking for? You can Submit a new open access paper.