ISETHDR: A Physics-Based Synthetic Radiance Dataset for High Dynamic Range Driving Scenes

This article presents a physics-based simulation that models the complete imaging pipeline from scene radiance to the final rendered image. We use this simulation to evaluate sensor designs optimized for high dynamic range (HDR) environments, such as driving through daytime tunnels or in nighttime conditions. The work makes three main contributions: 1) a synthetic, labeled dataset of HDR driving scenes with instance segmentation and depth information; 2) open-source simulation software with validated performance; and 3) a comparative analysis of two single-shot sensor designs optimized for HDR imaging. Both the dataset [(ISETHDR)] and simulation software (ISETHDRSensor) are made publicly available and can be used to evaluate sensor designs for HDR environments, such as nighttime driving scenes.

Authors

Institutions

Publication Details

Journal
IEEE Sensors Journal
Published
2025-03-17
DOI
https://doi.org/10.1109/jsen.2025.3550455
Primary Topic
Radiative Heat Transfer Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

ISETHDR: A Physics-Based Synthetic Radiance Dataset for High Dynamic Range Driving Scenes

Devesh Shah, Zhenyi Liu, Brian A. Wandell
IEEE Sensors Journal
Radiative Heat Transfer Studies
article

ISETHDR: A Physics-Based Synthetic Radiance Dataset for High Dynamic Range Driving Scenes

Devesh Shah, Zhenyi Liu, Brian A. Wandell
article en

Abstract

This article presents a physics-based simulation that models the complete imaging pipeline from scene radiance to the final rendered image. We use this simulation to evaluate sensor designs optimized for high dynamic range (HDR) environments, such as driving through daytime tunnels or in nighttime conditions. The work makes three main contributions: 1) a synthetic, labeled dataset of HDR driving scenes with instance segmentation and depth information; 2) open-source simulation software with validated performance; and 3) a comparative analysis of two single-shot sensor designs optimized for HDR imaging. Both the dataset [(ISETHDR)] and simulation software (ISETHDRSensor) are made publicly available and can be used to evaluate sensor designs for HDR environments, such as nighttime driving scenes.

IEEE Sensors JournalVol. 25(9)
Ford Motor Company (United States) (US), Stanford University (US)
Affordable and clean energy
Openalex Percentile: Top 94%
Radiative Heat Transfer Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

ISETHDR: A Physics-Based Synthetic Radiance Dataset for High Dynamic Range Driving Scenes — Devesh Shah, Zhenyi Liu, et al. · IEEE Sensors Journal (2025) | TGRS Research Map | TGRS