A vehicle having the first ANN model initially installed therein to generate outputs from inputs
generated by one or more sensors of the vehicle. The vehicle selects an input based on an …

Abstract Systems, apparatuses and methods may provide for vehicle technology that detects
one or more differences between a crowdsourced map of an ambient environment and a …

Systems and methods are provided that employ spatial and temporal attention-based deep
reinforcement learning of hierarchical lane-change policies for controlling an autono mous …

The present teaching relates to method, system, medium, and implementation of in-situ
perception in an autonomous driving vehicle. A plurality of types of sensor data are acquired …

A rescue system identifies and rescues a protection target, using information from a camera
mounted on a movable body. The rescue system includes: a plurality of movable bodies; …

A system detects whether an automobile was involved in an accident. The system receives
sensor data detecting motion of the automobile, for example, acceleration or location of the …

A method includes detecting an event occurring on a vehicle. The vehicle includes at least
one computing device that controls at least one operation of the vehicle. The at least one …

An image may be obtained from one or more cameras coupled to a first vehicle. The image
may be provided as input to a machine learning algorithm configured to determine whether …

Various systems and methods for implementing distribution of a neural network workload
are described herein. A discovery message is encoded that includes a latency requirement …

In one embodiment, a computing system of a vehicle may capture, using one or more
sensors of the vehicle, sensor data associated with a first vehicle of interest. The computing …