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av preception - Coggle Diagram
av preception
sensors(data and type)
LiDAR (3D point clouds)
Camera (Images)
Radar (Range & Velocity)
GPS (Location)
IMU (Inertial Measurement Unit - Acceleration & Rotation)
pen_spark
preception task
Object Detection & Classification (Cars, Pedestrians, Traffic signs...)
Lane Detection & Tracking
Free Space Detection (Navigable areas)
Traffic Light Detection & Classification
Object Tracking & Motion Prediction
challenges & Considerations
Adverse Weather Conditions (Rain, Snow, Fog)
Lighting Variations (Daytime, Nighttime)
Occlusions (Hidden objects)
Dynamic Environments (Moving objects)
Sensor Errors & Calibration
Techniques & Algorithms
Deep Learning (Convolutional Neural Networks)
LiDAR Point Cloud Processing
Sensor Fusion (Combining data from multiple sensors)
Kalman Filters (Tracking object movement)