Abstract: Systems, methods, and computer-readable media are disclosed for a quick evaluation system for three-dimensional (3D) assets used in simulations for an autonomous vehicle (AV). A disclosed method comprises receiving drive data recorded in a physical environment by a vehicle having a first sensor; simulating the first sensor associated with a virtual autonomous vehicle in a virtual environment of a 3D scene including an object that at least partially corresponds to the physical environment; evaluating simulated data based on the simulation of the first sensor using a machine learning (ML) model; comparing evaluation data recorded during the evaluation of the simulation of the first sensor using the ML model to the drive data recorded in the physical environment; and generating a report based on a comparison of the evaluation data to a portion of the drive data to determine metrics associated with the object in the virtual environment.

Abstract: The disclosed technology provides solutions for generating synthetic 3D environments, In some aspects, the disclosed technology includes a process of synthetic environment generation that includes steps for collecting sensor data corresponding with a three-dimensional (3D) space, generating a 3D mesh based on the sensor data, and generating one or more synthetic 3D objects based on the 3D mesh and the sensor data. In some aspects, the process can further include steps for generating a 3D synthetic environment comprising the one or more synthetic 3D objects, wherein the 3D synthetic environment is generated based on the 3D mesh. Systems and machine-readable media are also provided.

Abstract: Examples of the present disclosure provide a computer-implemented system, comprising instructions for performing operations including: retrieving real-world data comprising skeleton attributes of various skeletons; receiving instructions to generate a simulated skeleton for a scene in a simulation; generating the simulated skeleton according to the scene based on the skeleton attributes, the simulated skeleton comprising a generic skeleton modified by scaling factors according to the scene; building a simulation asset using the simulated skeleton; and determining a reaction of a vehicle to the simulation asset in the scene simulated, the reaction of the vehicle being a function of a configuration of the vehicle.

Abstract: Systems, methods, and computer-readable media are disclosed for a quick evaluation system for three-dimensional (3D) assets used in simulations for an autonomous vehicle (AV). A disclosed method comprises receiving drive data recorded in a physical environment by a vehicle having a first sensor; simulating the first sensor associated with a virtual autonomous vehicle in a virtual environment of a 3D scene including an object that at least partially corresponds to the physical environment; evaluating simulated data based on the simulation of the first sensor using a machine learning (ML) model; comparing evaluation data recorded during the evaluation of the simulation of the first sensor using the ML model to the drive data recorded in the physical environment; and generating a report based on a comparison of the evaluation data to a portion of the drive data to determine metrics associated with the object in the virtual environment.

Abstract: The disclosed technology provides solutions for generating accurate virtual representations of real-world environments. A process of the disclosed technology can include steps for: aggregating a plurality of images, wherein each of the images is associated with a set of geolocation coordinates, extracting a set of image parameters from the plurality of images, wherein the set of image parameters includes a dynamic range value, and providing the set of image parameters to a three-dimensional (3D) modeling platform. In some aspects, the process can further include generating a virtual environment corresponding with the set of geolocation coordinates, wherein the virtual environment is based on the set of image parameters. Systems and machine-readable media are also provided.

Abstract: The disclosed technology provides solutions for generating synthetic 3D environments, In some aspects, the disclosed technology includes a process of synthetic environment generation that includes steps for collecting sensor data corresponding with a three-dimensional (3D) space, generating a 3D mesh based on the sensor data, and generating one or more synthetic 3D objects based on the 3D mesh and the sensor data. In some aspects, the process can further include steps for generating a 3D synthetic environment comprising the one or more synthetic 3D objects, wherein the 3D synthetic environment is generated based on the 3D mesh. Systems and machine-readable media are also provided.