The present invention is to perform position estimation in relation to a vehicle and a key module by using an ultra-wideband (UWB) and, specifically, relates to a method and system for precise position estimation for a vehicle, whereby position can be estimated, with effects minimized that result from the type of the vehicle and the quality of exterior metal of the vehicle. The method for precise position estimation for a vehicle over a UWB comprises the steps of: receiving, by an LIN transceiver, a position estimation-related signal delivered from an internal part of a vehicle, and transmitting the signal to a UWB transceiver to start the position estimation; the control unit measuring a predetermined number of times reception signal delays occurring in relation to a UWB tag, while turning on or off the switch of each of M antennas at predetermined time intervals; determining antennas at which the value of a corresponding reception signal delay measured the predetermined number of times is lower than a preset threshold; measuring the distances between the determined antennas and the distances between each of the antennas and the UWB tag; determining position angles with respect to the UWB tag by using a two-way ranging (TWR) positioning method on the basis of the distances between the antennas and the distances between each of the antennas and the UWB tag; measuring the distances between the UWB tag and UWB anchors measured using a triangulation method according to the M anchors and UWB tag; and estimating the position of the UWB tag on the basis of the position angles with respect to the UWB tag and the distances between the N UWB anchors and the UWB tag.

A vehicle theft-prevention system can include a plurality of sensors configured to sense measurements proximate to a vehicle and a body configured to secure to a window of the vehicle. The body can include a wireless transceiver and at least one computing device coupled to the plurality of sensors and the wireless transceiver. The at least one computing device can be configured to receive, via the wireless transceiver, an indication to enter an armed mode from an unarmed mode. The at least one computing device can be configured to, in response to the indication, transition to the armed mode, wherein transitioning to the armed mode comprises setting a configuration of at least one property of a subset of the plurality of sensors.

A vehicle theft-prevention apparatus can include a slip clutch mechanism, a locking mechanism, and a cylindrical body including a first portion and a second portion. The first portion can be configured to rotate about the second portion. The locking mechanism can be configured to engage based on rotation of the first portion relative to the second portion in a first direction, and disengage based on a rotation of the first portion relative to the second portion in a second direction. The slip clutch mechanism can be configured to prevent the locking mechanism from further engaging from rotation in the first direction relative to the second portion based on a magnitude of force applied.

A vehicle theft-prevention apparatus can include a body, a computing device, sensors, and a speaker. The body can include a first and second portion and a light emitting portion. The first portion can move relative to the second portion. The second portion can include perforations to facilitate sound transmission from the speaker. The light emitting portion can be positioned between the first portion and the second portion. The light emitting portion can be configured to emit light based on a signal from the computing device. A lens can include a concentric structure protruding from the body. The lens can cover the sensor.

An embodiment vehicle includes at least one first camera, a communicator, and a controller connected to the at least one first camera and the communicator. The controller is configured to identify an ignition-off state of the vehicle, acquire at least one first image through the at least one first camera based on the ignition-off state of the vehicle, identify a possibility of occurrence of a security-related dangerous situation of the vehicle based on the acquired at least one first image, and in response to the identifying on the possibility of occurrence of the security-related dangerous situation of the vehicle, and transmit information on the possibility of occurrence of the security-related dangerous situation of the vehicle to at least one external device through the communicator.

A sensing device can include an accelerometer, a transceiver, and a computing device in communication with the accelerometer and transceiver. The computing device can transmit a first set of signals at a first power level to a remote device. The computing device can determine, via the accelerometer, a movement of the sensing device. The computing device can increase a power level for transmission from the first power level to a second power level in response to the movement. The computing device can transmit future signals at the second power level to the remote device.

A vehicle theft-prevention apparatus can include at least one computing device coupled to at least one sensor and a wireless transceiver. The at least one sensor configured to sense measurements proximate to a vehicle. The at least one computing device can be configured to read a plurality of first measurements of the at least one sensor at a predetermined frequency, where the at least one sensor is located in a first position of the vehicle. The at least one computing device can be configured to receive a plurality of second measurements from at least one additional theft-prevention apparatus, where the at least one additional theft-prevention apparatus is located at a second position in the vehicle. The at least one computing device can determine that a person has entered the vehicle based on at least one of: the plurality of first measurements and the plurality of second measurements.

The present application generally relates to battery powered door unlock mechanisms. More specifically, the application teaches an unlock system including a door unlock mechanism, a capacitive circuit having a first time response, a resistive-capacitive circuit having a second time response wherein the second time response is longer than the first time response, a battery for coupling a battery charge to the capacitive circuit and the resistive capacitive circuit in response to a door unlock authentication signal, and a relay for coupling a first charge from the capacitive circuit to the door unlock mechanism in response to the relay being activated by a second charge from the resistive-capacitive circuit after the second time response.

A sensing device can include at least one sensor, positioning circuitry, a transceiver, and a computing device in communication with the at least one sensor, the positioning circuitry, and the transceiver. The computing device can determine a location of a vehicle via the positioning circuitry. The computing device can determine that a point of interest (POI) associated with a predefined category of POIs corresponds to the location. The computing device, via the transceiver, can determine that a person is moving away from the vehicle based on a measurement associated with a remote device. The computing device can enter into an armed mode in response to the determinations. The computing device can detect an intrusion into a vehicle while in the armed mode based at least in part on measurements from the at least one sensor. The computing device can generate an alarm in response to the intrusion.

Systems and method are provided and include ultra-wide band (UWB) modules located within a vehicle at module locations that are located at known distances relative to each other. The UWB modules perform UWB distance ranging with a portable device and with each other. A control module instructs each UWB module to perform distance ranging with every other UWB module of the plurality of UWB modules, receives a set of measurements associated with each UWB module, performs a comparison of the measurements with the known distances, and determines locations for each UWB module based on the comparison, the locations being one of the plurality of module locations.