A5026817045- Fuel Cells and Related Materials
- Electrocatalysts for Energy Conversion
- Catalytic Processes in Materials Science
- Vehicle emissions and performance
- Advanced battery technologies research
- Advanced Combustion Engine Technologies
- Advanced Battery Technologies Research
- Advanced Measurement and Detection Methods
- Industrial Technology and Control Systems
- Biodiesel Production and Applications
- Autonomous Vehicle Technology and Safety
- Infrared Target Detection Methodologies
- Gas Sensing Nanomaterials and Sensors
- Traffic control and management
- Atmospheric chemistry and aerosols
- Membrane-based Ion Separation Techniques
- Thermography and Photoacoustic Techniques
SAIC Motor (China)
2021
Shanghai Jiao Tong University
2014-2018
Tianjin University
2012-2017
Abstract The detection of road infrared targets is essential for autonomous driving. Different from RGB images, the acquisition images unaffected by visible light. However, signal‐to‐noise ratio still presents significant challenges. This study demonstrates an improved target model detection. An advanced EfficientNet incorporated to replace conventional structure and enhance feature extraction. A Dilated‐Residual U‐Net also introduced reduce noise images. Meanwhile, k ‐means algorithm data...
Although there have been a number of publications focused on heterogeneous NO2 mineral particles, most these studies were β-Al2O3 and performed in the dark. Less was known about reaction process α-Al2O3, especially effect sunlight factor. The between α-Al2O3 investigated by using diffuse reflectance infrared Fourier transform spectrometry. effects O2 concentrations as well simulated examined, mechanism including consumption surface OH groups, oxidation nitrites, formation water also...
With more commercialized automated vehicles (AVs) shortly entering the market, evaluating their fuel economy has become an important topic. The traditional fixed-profile test methods only indicate effect of powertrain efficiency on and cannot reflect influences control algorithms or driving behaviors consumption under real-world traffic conditions. Therefore, a data-driven simulation method for real is developed. It utilizes naturalistic data to reconstruct cycles. This can inspect...