# Decisive Data using Multi-Modality Optical Sensors for Advanced Vehicular Systems

arXiv: https://arxiv.org/abs/2307.13600 · HTML: https://mlsanity.com/paper/2307.13600/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 9 of its 32 references that are in the map.
- First posted on arXiv 25 Jul 2023.

## Builds on (most cited first, 9 of 9)

- [Real-Time Face & Eye Tracking and Blink Detection using Event Cameras](https://mlsanity.com/paper/2010.08278/) (2020)
- [Shining light on the DVS pixel: A tutorial and discussion about biasing and optimization](https://mlsanity.com/paper/2304.04706/) (2023)
- [Object Detection in Thermal Spectrum for Advanced Driver-Assistance Systems (ADAS)](https://mlsanity.com/paper/2109.09854/) (2021)
- [Evaluation of Thermal Imaging on Embedded GPU Platforms for Application in Vehicular Assistance Systems](https://mlsanity.com/paper/2201.01661/) (2022)
- [Control and Evaluation of Event Cameras Output Sharpness via Bias](https://mlsanity.com/paper/2210.13929/) (2022)
- [Traffic Sign Detection With Event Cameras and DCNN](https://mlsanity.com/paper/2207.13345/) (2022)
- [Augmented Reality-Based Advanced Driver-Assistance System for Connected Vehicles](https://mlsanity.com/paper/2008.13381/) (2020)
- [Neuromorphic Sensing for Yawn Detection in Driver Drowsiness](https://mlsanity.com/paper/2305.02888/) (2023)
- [Event-based YOLO Object Detection: Proof of Concept for Forward Perception System](https://mlsanity.com/paper/2212.07181/) (2022)

## Abstract (arXiv)

Optical sensors have played a pivotal role in acquiring real world data for critical applications. This data, when integrated with advanced machine learning algorithms provides meaningful information thus enhancing human vision. This paper focuses on various optical technologies for design and development of state-of-the-art out-cabin forward vision systems and in-cabin driver monitoring systems. The focused optical sensors include Longwave Thermal Imaging (LWIR) cameras, Near Infrared (NIR), Neuromorphic/ event cameras, Visible CMOS cameras and Depth cameras. Further the paper discusses different potential applications which can be employed using the unique strengths of each these optical modalities in real time environment.