Qualcomm Incorporated

Ahmed Kamel Sadek

Tamer Adel Kadous

Nachiappan Valliappan

Aleksandar Damnjanovic

Michael Mingxi Fan

Ashok Mantravadi

Andrei Dragos Radulescu

Tao Luo

Naga Bhushan

Mohammad Naghshvar

Stephen Jay Shellhammer

Juan Montojo

Yongbin Wei

Yisheng Xue

Mehmet Yavuz

Siddhartha Mallik

Chirag Sureshbhai Patel

Peter S Gaal

Taesang Yoo

Pranav Dayal

Xiaoxia Zhang

Jing X Sun

Arumugam Chendamarai Kannan

Mingxi Fan

Junyi Li

Tingfang Ji

Srinivas Yerramalli

Akula Aneesh Reddy

Sanaz Barghi

Ping Xia

Alexei Yurievitch Gorokhov

Rajat Prakash

Hong Cheng

Shailesh Patil

Dan Vassilovski

Chirag Dipak Patel

Avinash Jain

Wenyi Zhang

Qingsi Wang

Joseph Binamira Soriaga

Krishna Kiran Mukkavilli

Kapil Bhattad

Makesh Pravin John Wilson

Heechoon Lee

Zhibin Wu

John Edward Smee

Brian Clarke Banister

Vinay Chande

Dhananjay Ashok Gore

Farhad Meshkati

Gene Wesley Marsh

Kiran Kumar Somasundaram

Andrea Garavaglia

Volodimir Slobodyanyuk

Radhika Dilip Gowaikar

Marc W Werner

Patrick Stupar

Nakul Duggal

Auke Joris Wiggers

Kapil Gulati

Durga Prasad Malladi

Mostafa Khoshnevisan

Seyed Ali Akbar Fakoorian

Peter Pui Lok Ang

Sundar Subramanian

Ravi Palanki

Chih-Hao Liu

Peter J Black

Vijayalakshmi Rajasundaram Raveendran

Peng Cheng

Matthew Stuart Grob

Prashanth Haridas Hande

Saurabh R Tavildar

Yeliz Tokgoz

Sivaramakrishna Veerepalli

Rahul Tandra

Jubin Jose

Anastasios Stamoulis

Alan Barbieri

Yu Albert Wang

Kambiz Azarian Yazdi

Raja Sekhar Bachu

Arthur Gubeskys

Nilesh Nilkanth Khude

Dexu Lin

Vikas Jain

Amin Ansari

Cong Nguyen

Richard Reid Hovey

Weiliang Zeng

Charles Alfred Bergan

Andreas Maximilian Schenk

Babak Aryan

Cong Shen

Rizwan Ehtesham Ahmed

Avdhut Joshi

Michael John Hamilton

Thomas James Christol

Yong Jin Kim

Mihir Jain

Certain aspects of the present disclosure provide techniques for techniques for sensor data sharing. Certain aspects provide a method for wireless communication by a first wireless device. The method generally includes receiving, from one or more sensors, corresponding one or more raw sensor data sets and transmitting, to a second wireless device, at least one message comprising information regarding an object detected based on processing the one or more raw sensor data sets, wherein the information includes one or more characteristics of the object derived based on processing the one or more raw sensor data sets, wherein: when one or more conditions are met, the information further includes at least one raw sensor data set of the one or more raw sensor data sets; and when the one or more conditions are not met, the information does not include any raw sensor data.

Conditional vehicle to everything (V2X) sensor data sharing

An apparatus includes a memory for storing image data; and processing circuitry in communication with the memory. The processing circuitry is configured to generate a respective context vector for each pixel of the image data; generate a respective initial depth distribution for each pixel of the image data; and determine, for each pixel of the image data, a respective predicted depth peakiness factor based on the respective initial depth distribution, the respective predicted depth peakiness factor indicating a confidence of a depth for the pixel. The processing circuitry is also configured to determine a respective final depth distribution for each pixel based on the respective predicted depth peakiness factor and the respective initial depth distribution; and generate a bird's eye view (BEV) image using the respective final depth distribution for each pixel of the image data and the respective context vector for each pixel of the image data.

Depth guided lift, shoot, splat for converting camera images to bird's eye view domain

Systems, methods, and devices for radio frequency (RF) ranging-aided localization and crowdsourced mapping are provided. In one aspect, a method performed by a user equipment (UE) includes obtaining sensor data comprising first radio frequency (RF) ranging data and imaging data. The method further includes tagging the first RF ranging data with location information and semantic information, wherein the semantic information is based on the imaging data, and wherein the semantic information indicates a first portion of the RF ranging data is associated with a static object type and a second portion of the RF ranging data is associated with a temporary-static object type different from the static object type. The method further includes transmitting, to a RF ranging assistance server, the first RF ranging data tagged with the location information and the semantic information.

Systems and methods for radio frequency (RF) ranging-aided localization and map generation

Apparatus, methods, and computer-readable media for facilitating a cloud-based vehicle XR user experience are disclosed herein. An example method for wireless communication at a user equipment (UE) includes transmitting a request for a vehicle extended reality (XR) session. The vehicle XR session may be based on a first user XR stream including a vehicle XR component associated with a vehicle and a first user XR component associated with a first user. The first user may have an association with the vehicle. The example method also includes transmitting uplink information associated with the first user XR stream. The example method also includes receiving rendering information associated with the first user XR stream. The rendering information may be based on the uplink information.

Techniques to facilitate a cloud-based vehicle XR experience

Techniques for autonomous uplink (AUL) transmissions are provided that allow for efficient use of shared radio frequency spectrum band resources. A user equipment (UE) may determine a duration of an AUL transmission and modify an uplink waveform or provide an indication to a base station of one or more channel resources that may be available for base station transmissions, in order to more fully utilize shared radio frequency spectrum band resources within a maximum channel occupancy time (MCOT). A base station may activate or deactivate AUL transmissions through downlink control information (DCI) transmitted to the UE. A UE and base station may exchange various other control information to provide relatively efficient autonomous uplink transmissions and use of the shared radio frequency spectrum band resources.

Autonomous uplink transmission techniques using shared radio frequency spectrum

A device for processing image data is disclosed. The device can obtain a radar point cloud and one or more frames of camera data. The device can determine depth estimates of one or more pixels of the one or more frames of camera data. The device can generate a pseudo lidar point cloud using the depth estimates of the one or more pixels of the one or more frames of camera data, wherein the pseudo lidar point cloud comprises a three-dimensional representation of at least one frame of the one or more frames of camera data. The device can determine one or more object bounding boxes based on the radar point cloud and the pseudo lidar point cloud.

Radar and camera data fusion

The present disclosure generally relates to an object detection system. For example, aspects of the present disclosure relate to systems and techniques for performing object detection using sensor information, such as elevation and/or velocity information from one or more light-based sensors. One example apparatus generally includes one or more processors operably configured to: obtain sensor information indicating at least two objects in an environment; determine at least one of a velocity or an elevation associated with each object of the at least two objects; consolidate the at least two objects into a common object based on the at least one of the velocity or the elevation; and output an indication of the common object.

Sensor based object detection

A method includes determining a current state of an environment of an autonomous agent, such as a vehicle. The method also includes determining, via a first neural network, a set of actions based on the current state. The method further includes determining whether further analysis of the set of actions is desired. The method selects an action from the set of actions using a model-based solution based on a reward and a risk of the action when further analysis is desired. The method also includes selecting the action from the set of actions according to a metric when further analysis is not desired. The method controls the autonomous agent to perform the selected action.

Hybrid reinforcement learning for autonomous driving

Techniques disclosed provide for enhanced V2X communications by defining information Elements (IE) for V2X messaging between V2X entities. For a transmitting vehicle that sends a V2X message to a receiving vehicle, these IEs are indicative of a detected vehicle model type detected by the transmitting vehicle of a detected vehicle; a pitch rate of the transmitting vehicle, a detected vehicle, or a detected object; a roll rate of the transmitting vehicle, a detected vehicle, or a detected object; a yaw rate of a detected vehicle, or a detected object; a pitch rate confidence; a roll rate confidence; an indication of whether a rear brake light of a detected vehicle is on; or an indication of whether a turning signal of a detected vehicle is on; or any combination thereof. With this information, the receiving vehicle is able to make more intelligent maneuvers than otherwise available through traditional V2X messaging.

V2X information elements for maneuver and path planning

Methods, system, non-transitory media, and devices for supporting safety compliant computing in a heterogeneous computing system, such as a vehicle heterogeneous computing system are disclosed. Various aspects include methods enabling a vehicle, such as an autonomous vehicle, a semi-autonomous vehicle, etc., to achieve algorithm safety for various algorithms on a heterogeneous compute platform with various safety levels.

System to achieve algorithm safety in heterogeneous compute platform

Embodiments include methods performed by a processor of a vehicle control unit for managing a driving condition anomaly. In some embodiments, the vehicle may receive a first driving condition based on data from a first vehicle sensor, receive a second driving condition based on data from another data source, determine a driving condition anomaly based on the first driving condition and the second driving condition, send a request for information to a driving condition database, receive the requested information from the driving condition database, and resolve the driving condition anomaly based on the requested information from the driving condition database.

Managing a driving condition anomaly

Methods and apparatuses are provided for use in wireless communication devices to provide a capability for vehicles to actively perform traffic planning with regard to other vehicles, for example, within a region comprising an intersection and possibly wherein the intersection is not associated with a device or service for such or similar purposes. Such underlying techniques may reduce traffic congestion in certain instances by allowing two or more vehicles to negotiate or otherwise coordinate safe traversal within a region comprising an intersection. Moreover, the traffic planning techniques may be of use for a variety and/or mixture of different types of vehicles, paths, intersections, etc.

Intersection travel coordination via V2X communication

Methods, systems, and devices for wireless communication are described that provide for discovery of resources in a wireless communications system. The wireless communications system supports operations for multiple network operating entities that share a radio frequency spectrum. To discover and perform synchronization with the wireless communications system, a common preamble may be transmitted by nodes associated with multiple network operating entities. The common preamble may include information common to each of the multiple network operating entities which may be used by a device to identify neighboring wireless nodes, available network operating entities, or sub-intervals designated for prioritized or opportunistic use by one or more network operating entities.

Coordinated resource discovery

Growing community of inventors

San Diego, CA, United States of America

Ahmed Kamel Sadek