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Akshay Bhagat

Junqing Wei

Eric Wolff

Hsun-Hsien Chang

Philipp Robbel

Guchan Ozbilgin

Yifan Yang

Maurilio Di Cicco

Alok Sharma

Matthias Sapuan

Noam Weinstein

Mauro Aguiar

Bishwamoy Sinha Roy

David Butterworth

Andrew J Eick

Henggang Cui

Balarama Raju Buddharaju

Lu Lu

Sepideh Afshar

Among other things, techniques are described for path-based trajectory prediction (e.g., for autonomous driving). The technique includes: obtaining information about one or more agents in a portion of an environment where a vehicle is operating, the information including data associated with locations of the one or more agents in the portion of the environment; for each of at least one agent of the one or more agents, determining a reference path for the agent based on a location of the agent in the environment, and predicting a future trajectory of the agent based on the reference path; and operating the vehicle based on one or more predicted future trajectories of the at least one agent of the one or more agents.

Path-based trajectory prediction

Among other things, we describe systems and method for validating sensor calibration. For validating calibration of a system of sensors having several types of sensors, an object may be configured to have a substantially reflective portion such that the sensors can isolate the substantially reflective portion, and their sensor data can be compared to determine, if the detected locations of the substantially reflective portion by each sensor are aligned. For calibrating a system of sensors, an object having known calibration features can be used and detected by each sensor, and the detected data can be compared to known calibration data associated with the object to determine if each sensor is correctly calibrated.

Systems and methods for validating sensor calibration

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Squirrel Hill, PA, United States of America

Akshay Bhagat