Ford Global Technolgoies, LLC

Gm Global Technolgoy Operations, Inc.

Parsa Mahmoudieh

Vidya Nariyambut Murali

Guy Hotson

Maryam Moosaei

Scott Vincent Myers

Alexandru Mihai Gurghian

Natalie Muenster

Ravin Ratnakant Sardal

Jinesh J Jain

Harpreetsingh Banvait

Ashley Elizabeth Micks

Xuefeng Tim Tao

Ashok E Rodrigues

Madeline Jane Goh

Mohamed Ahmad

Connie Zeng

Michael Chernyak

Zhenhu Zhuang

Systems, methods, and devices for detecting brake lights are disclosed herein. A system includes a mode component, a vehicle region component, and a classification component. The mode component is configured to select a night mode or day mode based on a pixel brightness in an image frame. The vehicle region component is configured to detect a region corresponding to a vehicle based on data from a range sensor when in a night mode or based on camera image data when in the day mode. The classification component is configured to classify a brake light of the vehicle as on or off based on image data in the region corresponding to the vehicle.

Brake light detection

Techniques and examples pertaining to virtual reality remote valet parking are described. A processor of a control system of a vehicle may establish a wireless communication with a remote controller. The processor may provide a stream of video images captured by a camera of the vehicle to the remote controller. The processor may receive a signal from the remote controller. The processor may maneuver the vehicle from one location to another according to the signal.

Virtual reality remote valet parking

A method is disclosed for using an autonomous vehicle to teach a student how to drive. The method may include generating, by the autonomous vehicle during a training session, a plan for navigating a section of road. During the training session, the autonomous vehicle may receive control instructions from the student regarding how the student would like to navigate the section of road. If the autonomous vehicle determines that implementing the instructions would be safe and legal, it may implement those instructions. However, if the autonomous vehicle determines that implementing the instructions would not be safe and legal, it may execute the plan. During a training session, an autonomous vehicle may provide on a head-up display to the student certain visual feedback regarding a driving performance of the student.

Autonomous vehicle providing driver education

According to one embodiment, a system includes a sensor component and a detection component. The sensor component is configured to obtain a first stream of sensor data and a second stream of sensor data, wherein each of the first stream and second stream comprise a plurality of sensor frames. The detection component is configured to generate a concatenated feature map based on a sensor frame of a first type and a sensor frame of a second type. The detection component is configured to detect one or more objects based on the concatenated feature map. One or more of generating and detecting comprises generating or detecting using a neural network with a recurrent connection that feeds information about features or objects from previous frames.

Object detection using recurrent neural network and concatenated feature map

Example sinkhole detection systems and methods are described. In one implementation, a method receives data from multiple sensors mounted to a vehicle and analyzes the received data to identify a sinkhole in a roadway ahead of the vehicle. If a sinkhole is identified, the method adjusts vehicle operations and reports the sinkhole to a shared database and/or another vehicle.

Sinkhole detection systems and methods

Example wind detection systems and methods are described. In one implementation, a method receives data from a vehicle-mounted sensor and determines whether airborne particles are identified in the received data. If airborne particles are identified in the received data, the method determines a wind speed and a wind direction based on movement of the airborne particles and determines a best action to avoid or mitigate the impact of the wind.

Wind detection systems and methods

A vehicle includes a pair of cameras disposed on the vehicle and oriented to view an entrance to the vehicle. The vehicle also includes a processor configured to compare a profile image of a passenger's facial feature from one of the pair with a frontal image of the passenger's facial feature from the other of the pair. The processor is configured to lock the entrance to the vehicle in response to the facial features being different.

Object detection for vehicles

A powertrain system including an engine and transmission is described, and includes a temperature sensor disposed to monitor a hydraulic fluid for the transmission. A method for monitoring the temperature sensor includes monitoring engine operation including engine coolant temperature and monitoring a signal output from the temperature sensor. An indicated temperature slope is determined based upon the signal output from the temperature sensor, and a temperature region associated with the engine coolant temperature is determined. Performance of the temperature sensor is evaluated based upon the indicated temperature slope and minimum and maximum temperature slope thresholds that are associated with the temperature region.

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Vallejo, CA, United States of America

Parsa Mahmoudieh