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Found 8 papers, 1 papers with code
SynFog: A Photo-realistic Synthetic Fog Dataset based on End-to-end Imaging Simulation for Advancing Real-World Defogging in Autonomous Driving
To advance research in learning-based defogging algorithms, various synthetic fog datasets have been developed.
ChatSOS: LLM-based knowledge Q&A system for safety engineering
We employed prompt engineering to incorporate external knowledge databases, thus enriching the LLM with up-to-date and reliable information.
Using simulation to quantify the performance of automotive perception systems
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).
ISETAuto: Detecting vehicles with depth and radiance information
(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.
Vehicle Reconstruction and Texture Estimation Using Deep Implicit Semantic Template Mapping
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
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
It is better to evaluate camera designs for CNN applications using soft prototyping with task-specific metrics rather than consumer photography metrics.
A system for generating complex physically accurate sensor images for automotive applications
We describe an open-source simulator that creates sensor irradiance and sensor images of typical automotive scenes in urban settings.
