A Real-Time and Energy-Efficient Embedded System for Intelligent ADAS with RNN-Based Deep Risk Prediction using Stereo Camera.
Kyuho Jason LeeGyeongmin ChoeKyeongryeol BongChanghyeon KimIn So KweonHoi-Jun YooPublished in: ICVS (2017)
Keyphrases
- energy efficient
- stereo camera
- real time
- vision system
- wireless sensor networks
- energy consumption
- stereo vision
- sensor networks
- depth information
- point cloud
- nearest neighbor
- base station
- stereo images
- gesture recognition
- energy efficiency
- data transmission
- stereo pair
- data sets
- human computer interaction
- intelligent systems
- low cost
- stereo matching
- power consumption
- communication networks
- data acquisition
- quality of service
- depth map
- wireless networks
- position and orientation
- ground truth
- computer vision