Abstract: During a measurement technique, an electronic device may receive first sensor information associated with a first field of view and a first timestamp, and second sensor information associated with a second field of view and a second timestamp. For example, the electronic device may perform a first measurement using a first sensor and performing a second, different type of measurement using a second sensor. Therefore, the first sensor information and the second sensor information may be associated with different types of sensors. Moreover, the first timestamp and the second timestamp may be concurrent or in close temporal proximity, and the first field of view and the second field of view may at least substantially overlap. Then, the electronic device may store the first sensor information and the second sensor information in memory. In some embodiments, the electronic device stores the first timestamp and the second timestamp in the memory.

Abstract: During a measurement technique, an electronic device may receive first sensor information associated with a first field of view and a first timestamp, and second sensor information associated with a second field of view and a second timestamp. For example, the electronic device may perform a first measurement using a first sensor and performing a second, different type of measurement using a second sensor. Therefore, the first sensor information and the second sensor information may be associated with different types of sensors. Moreover, the first timestamp and the second timestamp may be concurrent or in close temporal proximity, and the first field of view and the second field of view may at least substantially overlap. Then, the electronic device may store the first sensor information and the second sensor information in memory. In some embodiments, the electronic device stores the first timestamp and the second timestamp in the memory.

Abstract: During a location technique, a sensor module in a vehicle, which has non-retractable wheels in contact with a driving surface, determines a location of the vehicle. In particular, the sensor module is positioned on or in a direction of a side-facing surface of the vehicle. Moreover, during operation, the sensor module may transmit radar signals approximately perpendicular to a direction of motion of the vehicle. Then, the sensor module may receive reflected radar signals. Furthermore, the sensor module may analyze a time sequence of the reflected radar signals. Next, the sensor module may determine the location of the vehicle based at least in part on the analyzed time sequence of reflected radar signals.

Abstract: During a measurement technique, an electronic device may receive first sensor information associated with a first field of view and a first timestamp, and second sensor information associated with a second field of view and a second timestamp. For example, the electronic device may perform a first measurement using a first sensor and performing a second, different type of measurement using a second sensor. Therefore, the first sensor information and the second sensor information may be associated with different types of sensors. Moreover, the first timestamp and the second timestamp may be concurrent or in close temporal proximity, and the first field of view and the second field of view may at least substantially overlap. Then, the electronic device may store the first sensor information and the second sensor information in memory. In some embodiments, the electronic device stores the first timestamp and the second timestamp in the memory.

Abstract: During a measurement technique, an electronic device may receive first sensor information associated with a first field of view and a first timestamp, and second sensor information associated with a second field of view and a second timestamp. For example, the electronic device may perform a first measurement using a first sensor and performing a second, different type of measurement using a second sensor. Therefore, the first sensor information and the second sensor information may be associated with different types of sensors. Moreover, the first timestamp and the second timestamp may be concurrent or in close temporal proximity, and the first field of view and the second field of view may at least substantially overlap. Then, the electronic device may store the first sensor information and the second sensor information in memory. In some embodiments, the electronic device stores the first timestamp and the second timestamp in the memory.

Abstract: During an annotation technique, an electronic device may receive an optical image associated with an object and other sensor information associated with the object, where the optical image and the other sensor information have associated timestamps that are concurrent or in close temporal proximity. Then, the electronic device may identify the object based at least in part on the optical image and/or the other sensor information. Moreover, the electronic device may extract a signature associated with the object from the other sensor information. The signature may include: a range to the object, a first angle to the object along a first axis, Doppler information associated with the object and/or a second angle to the object along a second axis. Next, the electronic device may store annotation information associated with the identified object and the extracted signature in a data structure in memory.

Abstract: During a location technique, a sensor module in a vehicle, which has non-retractable wheels in contact with a driving surface, determines a location of the vehicle. In particular, the sensor module is positioned on or in a direction of a side-facing surface of the vehicle. Moreover, during operation, the sensor module may transmit radar signals approximately perpendicular to a direction of motion of the vehicle. Then, the sensor module may receive reflected radar signals. Furthermore, the sensor module may analyze a time sequence of the reflected radar signals. Next, the sensor module may determine the location of the vehicle based at least in part on the analyzed time sequence of reflected radar signals.

Abstract: Certain aspects of the present disclosure relate to methods and apparatus for reporting signal quality in overlapping Multimedia Broadcast Single Frequency Networks (MBSFN) areas. A UE may determine a signal quality estimate for each of two or more overlapping MBSFN areas based on Signal to Noise Ratio (SNR) information and Modulation and Coding Scheme (MCS) information for the MBSFN area. The UE may then determine a combined signal quality based on the signal quality estimates of the MBSFN areas.

Abstract: A method, an apparatus, and a computer program product for wireless communication are provided. The apparatus receives a user service description (USD) message. When a frequency indicated in the USD message is not a current frequency, the apparatus determines that a system information message is received, determines that the frequency indicated in the USD message is included in the system information message, determines that the frequency is a neighboring cell frequency, sets a priority of the frequency to a highest priority, and measures a signal strength of the frequency when the frequency is included in the system information message, performs a cell reselection determination procedure based on the signal strength of the frequency, performs cell reselection to the neighboring cell based on a result of the cell reselection determination procedure, and acquires the multicast service in the neighboring cell on the frequency.

Abstract: A method for inter-frequency cell reselection by a wireless communication device is described. The wireless communication device camps on a serving cell. An evolved multimedia broadcast multicast service (eMBMS) service provided by a neighbor cell is discovered. Inter-frequency parameters of the neighbor cell are measured. It is determined whether to perform an inter-frequency cell reselection based on one or more inter-frequency cell reselection factors. An inter-frequency cell reselection to the neighbor cell is performed.

Abstract: Certain aspects of the present disclosure relate to methods and apparatus for reporting signal quality in overlapping Multimedia Broadcast Single Frequency Networks (MBSFN) areas. A UE may determine a signal quality estimate for each of two or more overlapping MBSFN areas based on Signal to Noise Ratio (SNR) information and Modulation and Coding Scheme (MCS) information for the MBSFN area. The UE may then determine a combined signal quality based on the signal quality estimates of the MBSFN areas.

Abstract: A method, an apparatus, and a computer program product for wireless communication are provided. The apparatus receives a user service description (USD) message. When a frequency indicated in the USD message is not a current frequency, the apparatus determines that a system information message is received, determines that the frequency indicated in the USD message is included in the system information message, determines that the frequency is a neighboring cell frequency, sets a priority of the frequency to a highest priority, and measures a signal strength of the frequency when the frequency is included in the system information message, performs a cell reselection determination procedure based on the signal strength of the frequency, performs cell reselection to the neighboring cell based on a result of the cell reselection determination procedure, and acquires the multicast service in the neighboring cell on the frequency.