A method for classifying environmental image frames for vehicles, using a universal iterative classification model, is presented. The method combines text-based querying, active machine-learning models, and user input to form an end-to-end automatic flow for sourcing video frames captured by…
This application is directed to controlling a vehicle trajectory of an autonomous vehicle. A first vehicle traveling along a road acquires, from a first sensor of the first vehicle, first data of one or more first objects in a vicinity of the first vehicle. The first vehicle receives, from a…
The present teaching relates to method, system, medium, and implementations for detecting a need for sensor adjustment. Information is received from an inertial measurement unit (IMU) attached to a sensor, including one or more measurements associated with the IMU, where the sensor is deployed on a…
This application is directed to improving vehicle steering control of an autonomous vehicle. A first vehicle includes a first sensor, one or more processors, and memory. The first vehicle acquires, from at least the first sensor, first data of one or more first objects in a vicinity of the first…
This application is directed to a centralized system for predicting vehicle trajectory. A computer system associated with a fixed installation having one or more first sensors obtains, from the first sensors, information of a plurality of vehicles that are traveling within a zone of interest of a…
This application is directed to collecting event-based vehicle traffic data to facilitate driving a vehicle. A computer system includes sensors that are positioned on a fixed installation at a road, one or more processors, and memory. The computer system monitors, using the plurality of sensors on…
This application is directed to collecting traffic flow data to facilitate vehicle motion planning. A computer system collects, via a plurality of sensors that are positioned on a fixed installation at a road, data of vehicles that are traveling along a road. The computer system determines…
Techniques are described for scenario data generation. An example method can include processing location-specific sensor information of a traffic event at a location on a road network. The method can include determining a location-specific element based on the location-specific sensor information…
Methods, systems, and non-transitory computer readable media are configured to perform operations comprising capturing a first sequence of captured data associated with a first time window; generating a second sequence of generated data associated with a second time window based on the first…
This application is directed to predicting vehicle turn and brake actions for at least partially autonomous vehicle driving. A first vehicle obtains a plurality of images along a road. For each image of the plurality of images, the first vehicle extracts, from the image, a plurality of image…
Methods, systems, and non-transitory computer-readable media are configured to perform operations comprising determining a symmetric scenario for a scenario; training a first machine learning model for the scenario based on first training data generated from second training data for the symmetric…
Methods, systems, and non-transitory computer-readable media are configured to perform operations comprising determining parameters for an environment based on a regenerable elevation index; generating a speed profile for the environment based on the parameters; and generating control actions for…
Techniques are described for providing a hands-off steering wheel detection warning. An example method can include a vehicle computer determining a real-time level of fatigue of a driver of an autonomous vehicle. The vehicle computer can determine an operating parameter associated with an…
Techniques are described for determining failover to a redundant braking system. An example method can include a system determining a fault occurring in a braking system of an autonomous vehicle (AV) operating in an autonomous mode, the braking system comprising a first braking system and a second…
Methods, systems, and non-transitory computer readable media configured to perform operations comprise determining, by a computing system, speeds and stations of a plurality of leading vehicles traveling ahead of an ego vehicle; calculating, by the computing system, a coasting viability factor…
Methods, systems, and non-transitory computer-readable media are configured to perform operations comprising determining a rescue lane scenario for an environment, determining an amount of lateral bias for a vehicle, and generating planning and control data for the vehicle to laterally bias based…
This application is directed to predicting vehicle actions according to a hierarchy of interconnected vehicle actions. The hierarchy of interconnected vehicle actions includes a plurality of predefined vehicle actions that are organized to define a plurality of vehicle action sequences. A first…
Methods, systems, and non-transitory computer-readable media are configured to perform operations comprising determining an image of an environment. A drivable area and boundary information associated with the environment are determined based on the image. At least one boundary for navigation of…
The present teaching relates to method, system, medium, and implementations for sensor calibration. An ego vehicle determines whether a sensor deployed thereon to facilitate autonomous driving needs to be calibrated and sends, if it is determined that the sensor needs to be calibrated, a request…
This application is directed to aerial view generation for vehicle control. A vehicle obtains a forward-facing view of a road captured by a front-facing camera of a vehicle and applies a machine learning model to process the forward-facing view to predict determine a trajectory of the vehicle and a…
Embodiments provide a vehicle computer coupled to a vehicle. The vehicle computer may be configured to compute (e.g., generate) an automated lane change maneuver moving the vehicle from a first lane into a second, adjacent lane. The lane change maneuver may have commenced while the maneuver was…
This application is directed to aerial view generation for vehicle control. A vehicle obtains a forward-facing view of a road captured by a front-facing camera of a vehicle and applies a machine learning model to process the forward-facing view to predict determine a trajectory of the vehicle and a…
A safety case discovery system includes a scenario framework and safety protocols for edge cases. The safety case discovery system receives sensor data generated by at least one sensor during operation of a vehicle and stores the sensor data in a data warehouse. The data warehouse can be queried…
This application is directed to augmenting training images used for generating a model for monitoring vehicle drivers. A computer system obtains a first image of a first driver in an interior of a first vehicle and separates, from the first image, a first driver image from a first background image…
A computer system obtains a plurality of road images captured by one or more cameras attached to one or more vehicles. The one or more vehicles execute a model that facilitates driving of the one or more vehicles. For each road image of the plurality of road images, the computer system determines…
Methods, systems, and non-transitory computer-readable media estimate coasting behavior of a vehicle; identify a scenario associated with coasting in an environment of the vehicle; and based in part on the coasting behavior, generate a trajectory associated with coasting for the vehicle to move in…
In some embodiments, an apparatus, comprises an unmanned vehicle configured to be disposed with a vehicle and a processor operatively coupled to the unmanned vehicle. The processor is configured to receive a first signal indicating a stop of the vehicle without a user request and a second signal…
A system includes an electronic control unit (ECU) having a housing and configured to be disposed within an interior of an autonomous vehicle. The system also includes an inertial measurement unit (IMU) rigidly disposed with the housing of the ECU. The system also includes a processor configured to…
A method for classifying environmental image frames for vehicles, using a universal iterative classification model, is presented. The method combines text-based querying, active machine-learning models, and user input to form an end-to-end automatic flow for sourcing video frames captured by…
A method comprises: receiving, at a processor, a first image from a first camera from a stereo camera pair and a second image from a second camera from the stereo camera pair. The method also includes determining, at the processor using a machine learning model, a first set of objects in the first…