Examples disclosed herein involve a computing system configured to (i) obtain (a) a first set of sensor data captured by a first sensor system of a first vehicle that indicates the first vehicle's movement and location with a first degree of accuracy and (b) a second set of sensor data captured by a second sensor system of a second vehicle that indicates the second vehicle's movement and location with a second degree of accuracy that differs from the first degree of accuracy, (ii) based on the first set of sensor data, derive a first trajectory for the first vehicle that is defined in terms of a source-agnostic coordinate frame, (iii) based on the second set of sensor data, derive a second trajectory for the second vehicle that is defined in terms of the source-agnostic coordinate frame, and (iv) store the first and second trajectories in a database of source-agnostic trajectories.

An apparatus and method for measuring a local acceleration of gravity includes releasing a ferrous rod having a regular alternating pattern of reflective and non-reflective portions on a surface thereof from an electromagnetic holder so that the rod falls with a substantially vertical acceleration and substantially no angular velocity about a center of mass of the rod. The falling rod is illuminated with a light emitting diode (LED) configured to emit infrared (IR) light, and IR light emitted by the LED and reflected by the falling rod is detected with a photodiode. A two-state signal is generated corresponding to an illumination state of the photodiode by the reflected IR light. Times of transitions between the two states in the generated signal are calculated to determine kinematic data, and the kinematic data is fitted to a predetermined curve to calculate a local acceleration of gravity.

The disclosure relates to an apparatus, a method of vehicle heat dissipation and computer-readable storage medium. The method includes determining whether a vehicle is located in a safety zone; acquiring environment data in the safety zone when the vehicle is located in the safety zone, wherein the environment data includes information on vehicle interior environment and vehicle exterior environment; and controlling the vehicle to dissipate heat based on the environment data.

The disclosure relates to an apparatus, a method of vehicle heat dissipation and computer-readable storage medium. The method includes determining whether a vehicle is located in a safety zone; acquiring environment data in the safety zone when the vehicle is located in the safety zone, wherein the environment data includes information on vehicle interior environment and vehicle exterior environment; and controlling the vehicle to dissipate heat based on the environment data.

An apparatus and method for measuring a local acceleration of gravity includes releasing a ferrous rod having a regular alternating pattern of reflective and non-reflective portions on a surface thereof from an electromagnetic holder so that the rod falls with a substantially vertical acceleration and substantially no angular velocity about a center of mass of the rod. The falling rod is illuminated with a light emitting diode (LED) configured to emit infrared (IR) light, and IR light emitted by the LED and reflected by the falling rod is detected with a photodiode. A two-state signal is generated corresponding to an illumination state of the photodiode by the reflected IR light. Times of transitions between the two states in the generated signal are calculated to determine kinematic data, and the kinematic data is fitted to a predetermined curve to calculate a local acceleration of gravity.

Embodiments are disclosed for crash detection on one or more mobile devices (e.g., smartwatch and/or smartphone. In some embodiments, a method comprises: detecting a crash event on a crash device; extracting multimodal features from sensor data generated by multiple sensing modalities of the crash device; computing a plurality of crash decisions based on a plurality of machine learning models applied to the multimodal features, wherein at least one multimodal feature is a rotation rate about a mean axis of rotation; and determining that a severe vehicle crash has occurred involving the crash device based on the plurality of crash decisions and a severity model.

Embodiments are disclosed for crash detection on one or more mobile devices (e.g., smartwatch and/or smartphone. In some embodiments, a method comprises: detecting a crash event on a crash device; extracting multimodal features from sensor data generated by multiple sensing modalities of the crash device; computing a plurality of crash decisions based on a plurality of machine learning models applied to the multimodal features, wherein at least one multimodal feature is a rotation rate about a mean axis of rotation; and determining that a severe vehicle crash has occurred involving the crash device based on the plurality of crash decisions and a severity model.

An airborne gravity-based transducer is disclosed as two embodiments with similar physical structures but different operating principles. The first design includes a particle acting as an active interface characterized by internal vibrations relating to its de Broglie wave, a resonant cavity for trapping the particle, and a phonon-wave source wherein the de Broglie and phonon waves interact over a junction area. In the second design, mechanical displacements between the transducer elements can be monitored through electromechanical transduction.

An airborne gravity-based transducer is disclosed as two embodiments with similar physical structures but different operating principles. The first design includes a particle acting as an active interface characterized by internal vibrations relating to its de Broglie wave, a resonant cavity for trapping the particle, and a phonon-wave source wherein the de Broglie and phonon waves interact over a junction area. In the second design, mechanical displacements between the transducer elements can be monitored through electromechanical transduction.

An apparatus and method for measuring a local acceleration of gravity includes releasing a ferrous rod having a regular alternating pattern of reflective and non-reflective portions on a surface thereof from an electromagnetic holder so that the rod falls with a substantially vertical acceleration and substantially no angular velocity about a center of mass of the rod. The falling rod is illuminated with a light emitting diode (LED) configured to emit infrared (IR) light, and IR light emitted by the LED and reflected by the falling rod is detected with a photodiode. A two-state signal is generated corresponding to an illumination state of the photodiode by the reflected IR light. Times of transitions between the two states in the generated signal are calculated to determine kinematic data, and the kinematic data is fitted to a predetermined curve to calculate a local acceleration of gravity.