Image processing
Japanese/English
We conduct research on measurement systems and environment recognition technologies based on high-speed image processing in field robots. Especially targeting autonomous driving and agricultural robots, we aim to establish a new architecture that combines real-time performance and advanced recognition.
In-vehicle image processing
- Inter-vehicle distance measurement using spatio-temporal shared filter with stereo vision
- Separation and identification of overlapping vehicles using contour information
- Seamless tracking based on hybrid recognition
- Traffic light detection based on high-frequency blinking pattern extraction
Plant recognition
- Weed identification using deep learning in red perilla cultivation
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