Abstract: In particular embodiments, a computing system may receive, by a processor in communication with an actuator of a vehicle, an instruction associated with an environment external to the vehicle and configured for controlling the actuator of the vehicle. The system may receive, by the processor, sensor data associated with the environment and generated by one or more sensors associated with the vehicle. The system may determine, by the processor, a state associated with an operation mode of the vehicle based on the received sensor data. The system may evaluate, by the processor, whether the instruction is invalid based on the state associated with the operating mode of the vehicle. The system may, subsequent to determining that the instruction is invalid, based on the evaluation, prevent transmission of the instruction to the actuator of the vehicle.

Abstract: In one embodiment, a computing system accesses contextual data associated with a vehicle operated by a human driver. The contextual data is captured using one or more sensors associated with the vehicle. The system determines one or more predicted vehicle operations by processing the contextual data based at least on information associated with pre-recorded contextual data associated with a number of vehicles. The system detects one or more vehicle operations made by the human driver. The system determines that an event of interest is associated with the contextual data based on a comparison of the one or more vehicle operations made by the human driver and the one or more predicted vehicle operations. The system causes high-resolution contextual data associated with the event of interest to be stored.

Abstract: In one embodiment, a method includes providing instructions to broadcast a modulated radar chirp signal from a radar antenna of a vehicle. The modulated radar chirp signal includes data associated with the vehicle. The method includes receiving a first return signal whose waveform substantially matches the modulated chirp signal. The first return signal is the modulated radar chirp signal after reflecting off of an object in an environment surrounding the vehicle. The method includes calculating a location for the object using the first return signal, receiving, from a base station antenna, a second return signal that indicates the modulated chirp signal was received by the base station antenna, and providing instructions to establish a wireless communication session with the base station antenna.

Abstract: In one embodiment, a method includes determining an operational status of a vehicle including a radar antenna. The operational status is related to autonomous-driving operations of the vehicle in an environment. The method includes determining an expected amount of signaling resources associated with the radar antenna to be utilized by the vehicle while the vehicle performs the autonomous-driving operations, based at least on the operational status of the vehicle and the environment. The method includes determining to switch one or more of the signaling resources associated with the radar antenna from a first mode to a second mode based on the expected amount of signaling resources to be utilized by the radar antenna while the vehicle performs the autonomous-driving operations. The method includes causing the one or more of the signaling resources associated with the radar antenna to switch from the first mode to the second mode.

Abstract: In one embodiment, a computing system receives sensor data from one or more sensors of a vehicle. The computing system determines a metric associated with the vehicle based on the received sensor data. The computing system determines, based on the metric, a length of a transmission cycle of a communication network of the vehicle. The transmission cycle comprises one or more scheduled time periods dedicated for transmitting data from respective first nodes in the communication network. The computing system configures the communication network of the vehicle based at least in part on the length of the transmission cycle to adjust respective occurrence frequencies of the scheduled time periods over multiple instances of the transmission cycle.

Abstract: In one embodiment, a method includes providing instructions to broadcast a modulated radar chirp signal from a radar antenna of a vehicle. The modulated radar chirp signal includes data associated with the vehicle. The method includes receiving a first return signal whose waveform substantially matches the modulated chirp signal. The first return signal is the modulated radar chirp signal after reflecting off of an object in an environment surrounding the vehicle. The method includes calculating a location for the object using the first return signal, receiving, from a base station antenna, a second return signal that indicates the modulated chirp signal was received by the base station antenna, and providing instructions to establish a wireless communication session with the base station antenna.

Abstract: In one embodiment, a method includes receiving data from one or more sensors associated with a vehicle; and receiving a message from a first processor. The message from the first processor includes a first control command for an actuator of the vehicle and a first certificate function. The method also includes receiving a message from the second processor. The message from the second processor includes a second control command for the actuator of the vehicle and a second certificate function. The method also includes computing a first certificate based on the first certificate function and the data; computing a second certificate based on the second certificate function and the data; determining a valid control signal based on an accuracy of the first second control command and second control command relative the first certificate and second certificate; and transmitting the valid control signal to the actuator of the vehicle.

Abstract: In one embodiment, a method includes determining an operational status of a vehicle including a radar antenna. The operational status is related to autonomous-driving operations of the vehicle in an environment. The method includes determining an expected amount of signaling resources associated with the radar antenna to be utilized by the vehicle while the vehicle performs the autonomous-driving operations, based at least on the operational status of the vehicle and the environment. The method includes determining to switch one or more of the signaling resources associated with the radar antenna from a first mode to a second mode based on the expected amount of signaling resources to be utilized by the radar antenna while the vehicle performs the autonomous-driving operations. The method includes causing the one or more of the signaling resources associated with the radar antenna to switch from the first mode to the second mode.

Abstract: In one embodiment, a method includes, by a computing system of a vehicle, providing one or more instructions configured to cause a first radar antenna to broadcast a modulated radar chirp signal. The modulated radar chirp signal may include data. The method includes receiving a first return signal that corresponds to the modulated radar chirp signal reflected off of an object in an environment. The method includes calculating a location for the object using the first return signal. The method includes receiving, from a second radar antenna, a second return signal indicating that the modulated radar chirp signal was received by the second radar antenna.

Abstract: In particular embodiments, a computing system may receive, by a processor in communication with an actuator of a vehicle, an instruction associated with an environment external to the vehicle and configured for controlling the actuator of the vehicle. The system may receive, by the processor, sensor data associated with the environment and generated by one or more sensors associated with the vehicle. The system may determine, by the processor, a state associated with an operation mode of the vehicle based on the received sensor data. The system may evaluate, by the processor, whether the instruction is invalid based on the state associated with the operating mode of the vehicle. The system may, subsequent to determining that the instruction is invalid, based on the evaluation, prevent transmission of the instruction to the actuator of the vehicle.

Abstract: In one embodiment, a method includes accessing an operational status of a vehicle that is coupled to a radar antenna array, accessing sensor data that includes a count of and a location of a plurality of objects within a vicinity of the vehicle, accessing signal strength data associated with one or more base station antennas located within the vicinity of the vehicle, and determining to switch at least some of a plurality of radar resources of the radar antenna array from an object detection mode to a data transfer mode. The determination is based on the operational status, the sensor data, or the signal strength data.

Abstract: In one embodiment, a computing system of an autonomous vehicle may receive a first set of data packets on one or more networks. The computing system may analyze the data packets to determine, for each packet, one or more of an authenticity, a validity, or a correctness of the data packet. The computing system may perform a first action for the first set of data packets based on the analysis. The first action may include signaling a safety driver of the autonomous vehicle to take over manual control of the vehicle in response to the data packets failing to satisfy the one or more of the authenticity, the validity, or the correctness criteria.

Abstract: In one embodiment, a computing system accesses contextual data associated with a vehicle operated by a human driver. The contextual data is captured using one or more sensors associated with the vehicle. The system determines one or more predicted vehicle operations by processing the contextual data based at least on information associated with pre-recorded contextual data associated with a number of vehicles. The system detects one or more vehicle operations made by the human driver. The system determines that an event of interest is associated with the contextual data based on a comparison of the one or more vehicle operations made by the human driver and the one or more predicted vehicle operations. The system causes high-resolution contextual data associated with the event of interest to be stored.

Abstract: In one embodiment, a method includes accessing an operational status of a vehicle that is coupled to a radar antenna array, accessing sensor data that includes a count of and a location of a plurality of objects within a vicinity of the vehicle, accessing signal strength data associated with one or more base station antennas located within the vicinity of the vehicle, and determining to switch at least some of a plurality of radar resources of the radar antenna array from an object detection mode to a data transfer mode. The determination is based on the operational status, the sensor data, or the signal strength data.

Abstract: In one embodiment, a method includes, by a computing system of a vehicle, providing one or more instructions configured to cause a first radar antenna to broadcast a modulated radar chirp signal. The modulated radar chirp signal may include data. The method includes receiving a first return signal that corresponds to the modulated radar chirp signal reflected off of an object in an environment. The method includes calculating a location for the object using the first return signal. The method includes receiving, from a second radar antenna, a second return signal indicating that the modulated radar chirp signal was received by the second radar antenna.

Abstract: In one embodiment, a computing system receives sensor data from one or more sensors of a vehicle. The computing system determines a metric associated with the vehicle based on the received sensor data. The computing system determines, based on the metric, a length of a transmission cycle of a communication network of the vehicle. The transmission cycle comprises one or more scheduled time periods dedicated for transmitting data from respective first nodes in the communication network. The computing system configures the communication network of the vehicle based at least in part on the length of the transmission cycle to adjust respective occurrence frequencies of the scheduled time periods over multiple instances of the transmission cycle.

Abstract: In one embodiment, a computing system of an autonomous vehicle may receive a first set of data packets on one or more networks. The computing system may analyze the data packets to determine, for each packet, one or more of an authenticity, a validity, or a correctness of the data packet. The computing system may perform a first action for the first set of data packets based on the analysis. The first action may include signaling a safety driver of the autonomous vehicle to take over manual control of the vehicle in response to the data packets failing to satisfy the one or more of the authenticity, the validity, or the correctness criteria.

Abstract: In one embodiment, a method includes receiving data from one or more sensors associated with a vehicle; and receiving a message from a first processor. The message from the first processor includes a first control command for an actuator of the vehicle and a first certificate function. The method also includes receiving a message from the second processor. The message from the second processor includes a second control command for the actuator of the vehicle and a second certificate function. The method also includes computing a first certificate based on the first certificate function and the data; computing a second certificate based on the second certificate function and the data; determining a valid control signal based on an accuracy of the first second control command and second control command relative the first certificate and second certificate; and transmitting the valid control signal to the actuator of the vehicle.

Abstract: In one embodiment, a method includes receiving data from one or more sensors associated with a vehicle; and receiving a message from a first processor. The message from the first processor includes a first control command for an actuator of the vehicle and a first certificate function. The method also includes receiving a message from the second processor. The message from the second processor includes a second control command for the actuator of the vehicle and a second certificate function. The method also includes computing a first certificate based on the first certificate function and the data; computing a second certificate based on the second certificate function and the data; determining a valid control signal based on an accuracy of the first second control command and second control command relative the first certificate and second certificate; and transmitting the valid control signal to the actuator of the vehicle.

Abstract: In one embodiment, a computing system receives sensor data from one or more sensors of a vehicle. The computing system determines a metric associated with the vehicle based on the received sensor data. The computing system determines, based on the metric, a length of a transmission cycle of a communication network of the vehicle. The transmission cycle comprises one or more scheduled time periods dedicated for transmitting data from respective first nodes in the communication network. The computing system configures the communication network of the vehicle based at least in part on the length of the transmission cycle to adjust respective occurrence frequencies of the scheduled time periods over multiple instances of the transmission cycle.