Threshold¶

class ThresholdDetector(min_power, normalize=True, peak_detection=True)[source]¶

Extract points by a power threshold.

Parameters:

min_power (float) – Minmally required point power.
normalize (bool) – Normalize the power during detection, so that min_power becomes a relative value betwee zero and one. Enabled by default.
peak_detection (bool) – Run a peak detection algorithm to only extract points at power peaks. Enabled by default.

classmethod Deserialize(process)[source]¶

Deserialize an object’s state.

Objects cannot be deserialized directly, instead a Factory must be instructed to carry out the deserialization process.

Parameters:: process (DeserializationProcess) – The current stage of the deserialization process. This object is generated by the Factory and provides an interface to deserialization methods supporting multiple backends.
Return type:: ThresholdDetector
Returns:: The deserialized object.

detect(cube)[source]¶

Generate a point cloud from a radar cube.

Returns: The resulting (usually sparse) point cloud.

serialize(process)[source]¶

Serialize this object’s state.

Objects cannot be serialized directly, instead a Factory must be instructed to carry out the serialization process.

Parameters:: process (SerializationProcess) – The current stage of the serialization process. This object is generated by the Factory and provides an interface to serialization methods supporting multiple backends.
Return type:: None

property min_power: float¶

Minimally required point power.

Returns: Power (linear).

property normalize: bool¶

Normalize cube power before detection.

Returns: Enabled flag.

property peak_detection: bool¶

Run a peak search before detection.

Returns: Enabled flag.