Abstract: A perception system may be used to generate bounding boxes for objects in a vehicle scene. The perception system may receive images and feature maps corresponding to the received images. The perception system may generate scene dependent radar-based object queries. The perception system may use the generated scene dependent radar-based object queries and scene independent object queries to generate one or more bounding boxes for objects in the vehicle scene.

Abstract: Provided are methods and systems for aggregating data associated with various geographic areas for trajectory determination and high definition map generation. The methods and systems may include obtaining first data associated with a first area that is external to a vehicle, converting the first data associated with the first area from a first format to a second format, transmitting the first data that is converted and a query associated with a second area, receiving second data specific to the second area responsive to the query, aggregating the second data specific to the second area with the first data, determining, using the at least one processor, a trajectory of the vehicle within a physical space based on the aggregating of the second data with the first data, and/or generating a graphical representation for use by a display of the vehicle based on the second data that is aggregated with the first data.

Abstract: A perception system may be used to generate bounding boxes for objects in a vehicle scene. The perception system may receive images and feature maps corresponding to the received images. The perception system may generate scene dependent object queries. The perception system may use the generate scene dependent object queries to generate one or more bounding boxes for objects in the vehicle scene.

Abstract: A system may be used to determined object characteristics and/or generate bounding boxes for objects in a vehicle scene by enriching later-in-time feature maps using earlier-in-time feature maps. The system may generate a feature map from a received. Using an earlier-in-time feature map, the system may enrich semantic data of the generated feature map to form an enriched feature map. The system may use the enriched feature map to generate one or more object characteristics of an object in the scene.

Abstract: A perception system may be used to generate bounding boxes for objects in a vehicle scene. The perception system may receive images and generate feature maps corresponding to the received images. The perception system may generate object queries based on the feature maps and enrich the object queries. The perception system may use the enriched object queries to generate one or more bounding boxes for objects in the vehicle scene.

Abstract: A perception system may be used to generate bounding boxes for objects in a vehicle scene. The perception system may receive images and feature maps corresponding to the received images. The perception system may generate multiple pluralities of windows and use the multiple pluralities of windows to enrich semantic data of the feature maps. The perception system may use the enriched semantic to generate one or more bounding boxes for objects in the vehicle scene.

Abstract: Techniques are provided for monocular 3D object detection from an image semantics network. An image semantics network (ISN) is a single stage, single image object detection network that is based on single shot detection (SSD). In an embodiment, the ISN augments the SSD outputs to provide encoded 3D properties of the object along with a 2D bounding box and classification scores. For each priorbox, a 3D bounding box is generated for the object using the dimensions and location of the priorbox, the encoded 3D properties and camera intrinsic parameters.