Various embodiments wirelessly detect micro gestures using multiple antenna of a gesture sensor device. At times, the gesture sensor device transmits multiple outgoing radio frequency (RF) signals, each outgoing RF signal transmitted via a respective antenna of the gesture sensor device. The outgoing RF signals are configured to help capture information that can be used to identify micro-gestures performed by a hand. The gesture sensor device captures incoming RF signals generated by the outgoing RF signals reflecting off of the hand, and then analyzes the incoming RF signals to identify the micro-gesture.

Various embodiments wirelessly detect micro gestures using multiple antenna of a gesture sensor device. At times, the gesture sensor device transmits multiple outgoing radio frequency (RF) signals, each outgoing RF signal transmitted via a respective antenna of the gesture sensor device. The outgoing RF signals are configured to help capture information that can be used to identify micro-gestures performed by a hand. The gesture sensor device captures incoming RF signals generated by the outgoing RF signals reflecting off of the hand, and then analyzes the incoming RF signals to identify the micro-gesture.

A moving object detection apparatus repeatedly acquires, from a radar apparatus, observed-point information indicating observed-point positions that are positions of observed points where radar waves are reflected. The apparatus estimates, based on the observed-point positions indicated respectively by a plurality of pieces of the observed-point information and tracking filter coefficients indicating the degree of tracking the observed-point positions, a tracking trajectory tracking movement of a moving object corresponding to a plurality of the observed points. The apparatus determines whether distribution of the plurality of the observed points on both sides of the tracking trajectory is continuously biased to one side of the tracking trajectory. The apparatus sets the tracking filter coefficients so that the tracking degree is higher when the distribution of the plurality of the observed points is determined to be biased than when the distribution of the plurality of the observed points is determined to be not biased.

A moving object detection apparatus repeatedly acquires, from a radar apparatus, observed-point information indicating observed-point positions that are positions of observed points where radar waves are reflected. The apparatus estimates, based on the observed-point positions indicated respectively by a plurality of pieces of the observed-point information and tracking filter coefficients indicating the degree of tracking the observed-point positions, a tracking trajectory tracking movement of a moving object corresponding to a plurality of the observed points. The apparatus determines whether distribution of the plurality of the observed points on both sides of the tracking trajectory is continuously biased to one side of the tracking trajectory. The apparatus sets the tracking filter coefficients so that the tracking degree is higher when the distribution of the plurality of the observed points is determined to be biased than when the distribution of the plurality of the observed points is determined to be not biased.

An object detection system and an object detection method are provided. The object detection system includes a transmitter, a receiver, and a processing circuit. The processing circuit is configured to: control the transmitter to transmit by a predetermined field pattern multiple detection signals in different time frames along a main beam direction; control the receiver to receive multiple reflection signals; correspondingly calculate multiple received powers, distances and velocities; perform a clustering process on the distances and the velocities to find the received powers, the distances and the velocities corresponding to a main target; perform an association process to track the distances and the received powers of the main target in the different time frames; and calculate a power and a distance trend of the main target, and determine whether an early alarm event is to occur according to a relationship between the power and the distance trend.

An object detection system and an object detection method are provided. The object detection system includes a transmitter, a receiver, and a processing circuit. The processing circuit is configured to: control the transmitter to transmit by a predetermined field pattern multiple detection signals in different time frames along a main beam direction; control the receiver to receive multiple reflection signals; correspondingly calculate multiple received powers, distances and velocities; perform a clustering process on the distances and the velocities to find the received powers, the distances and the velocities corresponding to a main target; perform an association process to track the distances and the received powers of the main target in the different time frames; and calculate a power and a distance trend of the main target, and determine whether an early alarm event is to occur according to a relationship between the power and the distance trend.

An aspect of the present disclosure relates to a system implemented in a host vehicle, comprising: a radar based detection unit, comprising one or more radar sensors, for detecting one or more targets around the host vehicle; a vision based detection unit, comprising one or more image sensors, for detecting one or more targets in the field of view of the host vehicle; and a processing unit to: receive information corresponding to detected one or more targets from each of the radar based detection unit and the vision based detection unit; match each of the one or more targets detected by the radar based detection unit with one or more targets detected by vision based detection unit to identify a target as a matched target; categorize the matched target as a locked target; and track the locked target using information received from the radar based detection unit.

An aspect of the present disclosure relates to a system implemented in a host vehicle, comprising: a radar based detection unit, comprising one or more radar sensors, for detecting one or more targets around the host vehicle; a vision based detection unit, comprising one or more image sensors, for detecting one or more targets in the field of view of the host vehicle; and a processing unit to: receive information corresponding to detected one or more targets from each of the radar based detection unit and the vision based detection unit; match each of the one or more targets detected by the radar based detection unit with one or more targets detected by vision based detection unit to identify a target as a matched target; categorize the matched target as a locked target; and track the locked target using information received from the radar based detection unit.

This document describes techniques, apparatuses, and systems for radar interference mitigation using signal pattern matching. Radar signals (e.g., chirps) received by a radar system may include interference from other nearby radar systems. The interference can result in reduced sensitivity of the radar system. The techniques, apparatuses, and systems described herein mitigate the interference by selecting an uncorrupted segment of the radar signal that neighbors a corrupted segment, analyzing the radar signal to identify a match segment that has similar signal characteristics to the neighbor segment, and replacing the corrupted segment with a segment that is adjacent to the match segment. In this manner, a noise floor of the radar system may be lowered, leading to increased sensitivity.

This document describes techniques, apparatuses, and systems for radar interference mitigation using signal pattern matching. Radar signals (e.g., chirps) received by a radar system may include interference from other nearby radar systems. The interference can result in reduced sensitivity of the radar system. The techniques, apparatuses, and systems described herein mitigate the interference by selecting an uncorrupted segment of the radar signal that neighbors a corrupted segment, analyzing the radar signal to identify a match segment that has similar signal characteristics to the neighbor segment, and replacing the corrupted segment with a segment that is adjacent to the match segment. In this manner, a noise floor of the radar system may be lowered, leading to increased sensitivity.