Gm Global Technolgoy Operations, Inc.

Ido Zelman

Mario Jodorkovsky

Upali Priyantha Mudalige

Ariel Telpaz

Asaf Degani

Yael Shmueli Friedland

Thanura Ranmal Elvitigala

Armin Biess

Michal Genussov

Systems and method are provided for generating an integrated interface in a vehicle. In one embodiment, a method includes: receiving data associated with an environment of the vehicle; encoding the environment data into a plurality of layers; extracting data from the plurality of layers into a point cloud; projecting the point cloud onto a meta-template defining a basic element and manipulable features of the basic element; and generating display data based on the projecting.

Integrated interface for situation awareness information alert, advise, and inform

A system and method for predicting whether a driver of a host vehicle or a remote vehicle intends to make a left or right turn or travel straight through an intersection before the host vehicle or remote vehicle reaches the intersection that relies on a probability model that employs a dynamic Bayesian network. The method includes obtaining a plurality of environmental cues that identify external parameters at or around the intersection, where the environmental cues include position and velocity of the remote vehicle, and obtaining a plurality of host vehicle cues that define operation of the host vehicle. The method then predicts the turning intent of the host vehicle and/or remote vehicle at the intersection using the model based on both the external cues and the vehicle cues using the model. The model can use learned information about previous driver turns at the intersection.

Prediction of driver intent at intersection

A system and method provided on an ego-vehicle for assessing potential threats in a vehicle collision avoidance system, and/or to plan safety-allowed vehicle trajectories for vehicle path planning. The method includes detecting objects in a predetermined vicinity around the ego-vehicle, and determining the relative velocity or other measure between each detected object and the ego-vehicle. The method defines a virtual dynamic safety shield around each detected object that has a shape, size and orientation that is determined by predetermined properties related to the current state of traffic around the ego-vehicle. The method also defines an action grid around the ego-vehicle. The method assesses the threat level of a potential collision between each detected object based on how the shield for that object and the action grid interact. The interaction between the shields and the grid induces actions aimed at aborting collisions and allows for trajectory planning.

Dynamic safety shields for situation assessment and decision making in collision avoidance tasks

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Raanana, Israel

Ido Zelman