Multispectral driving data categorized into RGB and Short-Wave Infrared (SWIR) bands captured across five adverse weather conditions. The collection includes synchronized image pairs specifically designed to address perception failures in fog, rain, snow, glare, and high-contrast environments.
Use Cases
- Train multispectral object detection models using the paired RGB and SWIR image frames
- Develop sensor fusion architectures for autonomous navigation in low-visibility fog and snow
- Evaluate the efficacy of SWIR-based vision systems in high-contrast glare scenarios
Strengths
- Synchronized image pairs across RGB and Short-Wave Infrared (SWIR) spectrums
- Environmental coverage of fog, rain, snow, glare, and high contrast conditions
- Sensor data specifically targeting limitations of NIR and LWIR bands in driving contexts