MULTI-VIEW DEEP NEURAL NETWORK FOR LIDAR PERCEPTION
MULTI-VIEW DEEP NEURAL NETWORK FOR LIDAR PERCEPTION
- New search for: SMOLYANSKIY NIKOLAI
- New search for: OLDJA RYAN
- New search for: CHEN KE
- New search for: POPOV ALEXANDER
- New search for: PEHSERL JOACHIM
- New search for: EDEN IBRAHIM
- New search for: WEKEL TILMAN
- New search for: WEHR DAVID
- New search for: BHARGAVA RUCHI
- New search for: NISTER DAVID
- New search for: SMOLYANSKIY NIKOLAI
- New search for: OLDJA RYAN
- New search for: CHEN KE
- New search for: POPOV ALEXANDER
- New search for: PEHSERL JOACHIM
- New search for: EDEN IBRAHIM
- New search for: WEKEL TILMAN
- New search for: WEHR DAVID
- New search for: BHARGAVA RUCHI
- New search for: NISTER DAVID
A deep neural network(s) (DNN) may be used to detect objects from sensor data of a three dimensional (3D) environment. For example, a multi-view perception DNN may include multiple constituent DNNs or stages chained together that sequentially process different views of the 3D environment. An example DNN may include a first stage that performs class segmentation in a first view (e.g., perspective view) and a second stage that performs class segmentation and/or regresses instance geometry in a second view (e.g., top-down). The DNN outputs may be processed to generate 2D and/or 3D bounding boxes and class labels for detected objects in the 3D environment. As such, the techniques described herein may be used to detect and classify animate objects and/or parts of an environment, and these detections and classifications may be provided to an autonomous vehicle drive stack to enable safe planning and control of the autonomous vehicle.
Document information
MULTI-VIEW DEEP NEURAL NETWORK FOR LIDAR PERCEPTION
2022-12-29
Patent
Electronic Resource
English
| IPC: | G06V / B60W CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION , Gemeinsame Steuerung oder Regelung von Fahrzeug-Unteraggregaten verschiedenen Typs oder verschiedener Funktion / G01S RADIO DIRECTION-FINDING , Funkpeilung / G05D SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES , Systeme zum Steuern oder Regeln nichtelektrischer veränderlicher Größen / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / G06T Bilddatenverarbeitung oder Bilddatenerzeugung allgemein , IMAGE DATA PROCESSING OR GENERATION, IN GENERAL |