Sensor Modeling
10 papers with code • 0 benchmarks • 1 datasets
Benchmarks
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eSports Sensors Dataset
Most implemented papers
Collection and Validation of Psychophysiological Data from Professional and Amateur Players: a Multimodal eSports Dataset
An important feature of the dataset is simultaneous data collection from five players, which facilitates the analysis of sensor data on a team level.
LiDAR Sensor modeling and Data augmentation with GANs for Autonomous driving
Simulators are often used for data augmentation, which requires realistic sensor models that are hard to formulate and model in closed forms.
Understanding Cyber Athletes Behaviour Through a Smart Chair: CS:GO and Monolith Team Scenario
eSports is the rapidly developing multidisciplinary domain.
eSports Pro-Players Behavior During the Game Events: Statistical Analysis of Data Obtained Using the Smart Chair
Today's competition between the professional eSports teams is so strong that in-depth analysis of players' performance literally crucial for creating a powerful team.
Detecting Video Game Player Burnout with the Use of Sensor Data and Machine Learning
In this article, we propose the methods based on the sensor data analysis for predicting whether a player will win the future encounter.
AI-enabled Prediction of eSports Player Performance Using the Data from Heterogeneous Sensors
smerdov/CS_GO_Sensors_Data_Analysis
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For this reason, we collected the physiological, environmental, and the game chair data from Pro and amateur players.
A Review of Testing Object-Based Environment Perception for Safe Automated Driving
Safety assurance of automated driving systems must consider uncertain environment perception.
Learning to Drop Points for LiDAR Scan Synthesis
As in the related studies, we process LiDAR data as a compact yet lossless representation, a cylindrical depth map.
Thermal Image Processing via Physics-Inspired Deep Networks
vishwa91/deepir
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We introduce DeepIR, a new thermal image processing framework that combines physically accurate sensor modeling with deep network-based image representation.
NeuRAD: Neural Rendering for Autonomous Driving
Neural radiance fields (NeRFs) have gained popularity in the autonomous driving (AD) community.
