Abstract

The Missing Sense - Enabling Autonomous Vehicles to "feel" the Road using Tactile AI

Like people, Autonomous Vehicles (Level 2 through 5) need to "see" and "feel" the road to best perform (in an enjoyable, efficient and safe way). To date, this "feel" aspect has been under-served. In this session, we will list novel methods for applying Artificial Intelligence to vehicle sensors in order to provide vehicles with advanced tactile sensing capabilities and augment the vastly-used visual sensors. ...


Session No: SIL8113
Speaker: Boaz Mizrachi
Type:

Autonomous Vehicle Technologies

Date: Thursday - October 18, 2018 02:00 PM - 02:45 PM
Location: Hall B
Topics: Deep Learning and AI, Autonomous Vehicle Technologies
Industry: Software

Like people, Autonomous Vehicles (Level 2 through 5) need to "see" and "feel" the road to best perform (in an enjoyable, efficient and safe way). To date, this "feel" aspect has been under-served. In this session, we will list novel methods for applying Artificial Intelligence to vehicle sensors in order to provide vehicles with advanced tactile sensing capabilities and augment the vastly-used visual sensors. We will discuss ways to leverage Big Data Analysis in the cloud, where data originating from vehicles equipped with Tactile Sensing Fusion and AI capabilities could be analyzed. These methods can also be leveraged to create Tactile Maps for roads based on crowd mapping. Additionally, we will describe cases in which the same data could be analyzed in the cloud to create continuously updated vehicle mechanical and health profiles. These profiles enable advanced predictive maintenance and other use cases that could be relevant to fleet managers and vehicle manufacturers.