Abstract

A system, methodologies and components utilizing a random access scanning LiDAR sensor for object detection for use in autonomous and driver assisted transportation vehicles, wherein calculated expected potential range changes determined based on emission of range determining laser pulses are used to schedule subsequent emission of range determining laser pulses such that laser pulse generation and ray sample generation for individual rays with a larger expected potential range change is performed more frequently than laser pulse generation and ray sample generation for individual rays with a smaller expected potential change so as to provide compressive active range scanning.

IPC Classes  ?

• G01S 17/93 - Lidar systems, specially adapted for specific applications for anti-collision purposes
• G01S 17/02 - Systems using the reflection of electromagnetic waves other than radio waves
• G01S 17/88 - Lidar systems, specially adapted for specific applications
• G01S 17/89 - Lidar systems, specially adapted for specific applications for mapping or imaging
• G01S 17/95 - Lidar systems, specially adapted for specific applications for meteorological use

Abstract

A system and method are provided for controlling traffic signals using virtual induction loops. The system allows bidirectional communication between a traffic signal controller and a vehicle so that the controller can send map data to the vehicle and the vehicle can send a recall message to the controller, requesting to be served by the controller at an approaching traffic signal.

IPC Classes  ?

• G08G 1/08 - Controlling traffic signals according to detected number or speed of vehicles

Abstract

A system and methodologies for controlling the content of a heads up display to provide increased visibility of naturally occurring contours and surfaces in the environment is provided. Depth information is provided along with predefined lighting conditions in order to output an image by the HUD with enhanced feature contours.

IPC Classes  ?

• G06T 5/00 - Image enhancement or restoration

Abstract

Autonomous driving systems may be provided with one or more sensors configured to capture perception data, a model configured to be continually trained in the transportation vehicle and a scalable subset memory configured to store a subset of a dataset previously used to train a model. A processor may be provided for continually training the model in the transportation vehicle using captured perception data previously unseen and the subset and for generating a new subset of data to be stored so that the model avoids catastrophic forgetting.

IPC Classes  ?

• B60W 30/09 - Taking automatic action to avoid collision, e.g. braking and steering