Monodepth-Based Object Detection and Depth Sensing for Vehicle Vision Systems

Keyphrases

• Vision System 100%
• Object Detection 100%
• Depth Sensing 100%
• Monocular Camera 75%
• Autonomous Vehicles 50%
• U-Net 50%
• Object Distance 50%
• Estimated Distance 50%
• Mean Absolute Error 25%
• Artificial Neural Network 25%
• Real-time Processing 25%
• Robust Performance 25%
• Weighted Distance 25%
• Camera Image 25%
• Road Safety 25%
• Distance Estimation 25%
• NVIDIA Jetson 25%
• Embedded Devices 25%
• Skip Connection 25%
• Encoder-decoder 25%
• Detection-estimation 25%
• YOLOv5 25%
• Distance Sensor 25%
• Fully Autonomous Driving 25%
• Stereo Camera 25%
• Autonomous Vehicle Systems 25%
• Robust Distance 25%
• Digital Twin Technology 25%
• Processing Performance 25%
• 2D Camera 25%
• Distance Estimator 25%
• 3D Camera 25%
• Estimator Algorithms 25%
• Jetson Xavier NX 25%

Engineering

• Mean Absolute Error 100%
• Marine Safety 100%
• Distance Estimation 100%
• Object Distance 100%
• Distance Sensor 100%
• Artificial Neural Network 100%
• Embedded Device 100%
• Estimated Distance 100%

Computer Science

• Object Detection 100%
• Vision Systems 100%
• Autonomous Vehicles 75%
• U-Net 50%
• Autonomous Driving 25%
• Time Processing 25%
• Digital Twin Technology 25%
• Embedded Device 25%
• Neural Network 25%
• Mean Absolute Error 25%
• stereo camera 25%
• YOLO 25%