Abstract: The technology relates to partially redundant equipment architectures for vehicles able to operate in an autonomous driving mode. Aspects of the technology employ fallback configurations, such as two or more fallback sensor configurations that provide some minimum amount of field of view (FOV) around the vehicle. For instance, different sensor arrangements are logically associated with different operating domains of the vehicle. Fallback configurations for computing resources and/or power resources are also provided. Each fallback configuration may have different reasons for being triggered, and may result in different types of fallback modes of operation. Triggering conditions may relate, e.g., to a type of failure, fault or other reduction in component capability, the current driving mode, environmental conditions in the vicinity of vehicle or along a planned route, or other factors.

Abstract: A method for operating a light detection and ranging (LIDAR) device is provided. The method includes driving, by an LLC resonant power converter, a wireless power signal at a primary winding of a transformer disposed on a first platform. The method includes transmitting the wireless power signal across a gap separating the first platform and a second platform. The second platform is configured to rotate relative to the first platform. The method includes receiving the wireless power signal at a secondary winding of the transformer. The secondary winding is disposed on the second platform. The method includes operating, by the LLC resonant power converter at a unity gain operating point and in an open loop mode without feedback control, a device mounted on the second platform based on the secondary winding receiving the wireless power signal.

Abstract: Systems and methods for estimating sensor timestamps by oversampling are provided. One example method involves observing, at a sampling frequency, sensor data from a register of a sensor. The sensor updates the register with sensor data at as sensor update frequency. The sampling frequency is different from the sensor update frequency. The method also involves generating, based on the sensor update frequency and the sampling frequency, an observed sequence representing the sensor data. The observed sequence indicates whether the register is observed to be updated or not updated. The method also involves estimating, from the observed sequence, the sensor update frequency and a sensor update phase. The method also involves determining, based on the sensor update frequency as estimated and the sensor update phase as estimated, a timestamp corresponding to an update of the register.

Abstract: The technology relates to partially redundant equipment architectures for vehicles able to operate in an autonomous driving mode. Aspects of the technology employ fallback configurations, such as two or more fallback sensor configurations that provide some minimum amount of field of view (FOV) around the vehicle. For instance, different sensor arrangements are logically associated with different operating domains of the vehicle. Fallback configurations for computing resources and/or power resources are also provided. Each fallback configuration may have different reasons for being triggered, and may result in different types of fallback modes of operation. Triggering conditions may relate, e.g., to a type of failure, fault or other reduction in component capability, the current driving mode, environmental conditions in the vicinity of vehicle or along a planned route, or other factors.

Abstract: The technology relates to partially redundant equipment architectures for vehicles able to operate in an autonomous driving mode. Aspects of the technology employ fallback configurations, such as two or more fallback sensor configurations that provide some minimum amount of field of view (FOV) around the vehicle. For instance, different sensor arrangements are logically associated with different operating domains of the vehicle. Fallback configurations for computing resources and/or power resources are also provided. Each fallback configuration may have different reasons for being triggered, and may result in different types of fallback modes of operation. Triggering conditions may relate, e.g., to a type of failure, fault or other reduction in component capability, the current driving mode, environmental conditions in the vicinity of vehicle or along a planned route, or other factors.

Abstract: The technology relates to partially redundant equipment architectures for vehicles able to operate in an autonomous driving mode. Aspects of the technology employ fallback configurations, such as two or more fallback sensor configurations that provide some minimum amount of field of view (FOV) around the vehicle. For instance, different sensor arrangements are logically associated with different operating domains of the vehicle. Fallback configurations for computing resources and/or power resources are also provided. Each fallback configuration may have different reasons for being triggered, and may result in different types of fallback modes of operation. Triggering conditions may relate, e.g., to a type of failure, fault or other reduction in component capability, the current driving mode, environmental conditions in the vicinity of vehicle or along a planned route, or other factors.

Abstract: Methods and systems for compensating for common failures in fail operational systems are described herein. An example system may include a primary controller configured to perform functions of a vehicle such as propulsion, braking and steering and a secondary controller configured in a redundant configuration with the primary controller. The controllers may perform cross-checks of each other and may each perform internal self-checks as well. Additionally, the system may include a control module configured to transfer control of the vehicle between the controllers based on detecting a fault. The control module may detect a common fault of the controllers that causes the control module to output a common fault signal. In response, the system may transfer of control to a safety controller configured to perform the vehicle functions until the system may transfer control back to the primary controller.

Abstract: A circuit architecture for a sensing component of a Light Detection and Ranging (LIDAR) device can provide a wide dynamic range. The circuit architecture includes at least one photosensor, each photosensor including an input that is configured to receive an optical signal; a respective diode corresponding to each photosensor, each respective diode including an input that is coupled to an output of the corresponding photosensor; a multiplexer including an input that is coupled to the output of each of the at least one photosensors; and an amplifier including an input that is coupled to the output of the multiplexer.