Robotic vehicle active safety systems and methods
First Claim
1. A method comprising:
- receiving trajectory data representing a trajectory of a driverless, autonomous vehicle in an environment external to the autonomous vehicle;
sensing an object in the environment;
determining object data comprising a position of the object, an object type of the object, and an object classification of the object;
determining one or more predicted locations of the object in the environment based on the object data;
determining a predicted collision location based on the trajectory data and the one or more predicted locations of the object in the environment;
determining a first threshold location in the environment between the object and the predicted collision location;
determining a second threshold location in the environment between the object and the predicted collision location, the second threshold location being closer to the collision location than the first threshold location;
sensing an updated position of the object in the environment;
implementing a first safety action using a safety system in response to the updated position corresponding to the first threshold location; and
implementing a second safety action using the safety system in response to the updated position corresponding to the second threshold location.
1 Assignment
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Accused Products
Abstract
Systems and methods implemented in algorithms, software, firmware, logic, or circuitry may be configured to process data and sensory input to determine whether an object external to an autonomous vehicle (e.g., another vehicle, a pedestrian, road debris, a bicyclist, etc.) may be a potential collision threat to the autonomous vehicle. The autonomous vehicle may be configured to implement active safety measures to avoid the potential collision and/or mitigate the impact of an actual collision to passengers in the autonomous vehicle and/or to the autonomous vehicle itself. Interior safety systems, exterior safety systems, a drive system or some combination of those systems may be activated to implement active safety measures in the autonomous vehicle.
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Citations
17 Claims
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1. A method comprising:
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receiving trajectory data representing a trajectory of a driverless, autonomous vehicle in an environment external to the autonomous vehicle; sensing an object in the environment; determining object data comprising a position of the object, an object type of the object, and an object classification of the object; determining one or more predicted locations of the object in the environment based on the object data; determining a predicted collision location based on the trajectory data and the one or more predicted locations of the object in the environment; determining a first threshold location in the environment between the object and the predicted collision location; determining a second threshold location in the environment between the object and the predicted collision location, the second threshold location being closer to the collision location than the first threshold location; sensing an updated position of the object in the environment; implementing a first safety action using a safety system in response to the updated position corresponding to the first threshold location; and implementing a second safety action using the safety system in response to the updated position corresponding to the second threshold location. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
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9. A system comprising:
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an autonomous vehicle configured to drive autonomously on a roadway, the autonomous vehicle having a plurality of sensors for sensing an object in an environment surrounding the autonomous vehicle; and a computing system communicatively coupled to the autonomous vehicle to receive data from the plurality of sensors and to transmit instructions to control components of the autonomous vehicle, the computing system being programmed to; determine a trajectory of the autonomous vehicle; determine a first location of the object and a type of the object; determine, based on the first location of the object and the type of the object, a predicted region comprising a region in which the object is predicted to travel; determine a first threshold boundary within the predicted region and a second threshold boundary within the predicted region; cause the autonomous vehicle to emit a first alert having a first urgency based on a determination that an updated location of the object coincides with the first threshold boundary; and cause the autonomous vehicle to emit a second alert having a second urgency based on a determination that the updated location of the object coincides with the second threshold boundary. - View Dependent Claims (10, 11, 12, 13, 14, 15, 16, 17)
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Specification