ADAS Sensors 2019

March 20 - 21, 2019
Where: Detroit, MI

You can view the full conference agenda on the website: http://www.adassensors.com/agenda.html


WHEN:  March 20 - 21, 2019

WHERE:  The Henry Hotel, Dearborn, MI


The Road to Mobile Robots: Emerging Opportunities and Megatrends

Jim DiSanto, Managing Director, Motus Ventures

In the past five years, many of us in the venture capital community have witnessed an explosion of startup companies developing mobile robots for a myriad of applications. Typically, these robots are designed to displace a human worker. Examples include self-driving vehicles, drones, as well as cleaning, agricultural, delivery, and food preparation robots. We see this as only the tip of the iceberg: roughly 3.2 billion jobs consisting mostly of manual labor could be replaced by robots in the coming years and decades. This talk will focus on the following topics and questions: (i) when we can really expect to see these robots in operation, (ii) how much AI do these robots need, (iii) how to achieve adequate levels of perception and cognition, and (iv) what are the “low hanging fruit” use cases and applications. We will also discuss some of the leading startups, as well as leading academia R&D groups which will soon be bringing their technologies to market.

 

Analog AI Technologies for ADAS Application

David Schie, CEO, AIStorm

Artificial intelligence for ADAS applications is a hot topic, with numerous sensor technologies vying to provide improved performance, lower power, and minimum latency. On the imager side, SPAD, SiPM, and CIS devices are improving our ability to increase the field of view, depth perception, and react quickly to external factors. Unfortunately, the quantity of information and the nature of the data, including extremely short duration pulses, can be challenging for existing solutions. These current solutions generally follow the input sensor with a mux/TIA combination, with multiple high performance ADCs and a DSP subsystem. Alternatives to such systems are emerging -- these are analog solutions, which can accept data directly from the sensor and perform required analysis completely in the analog domain. The result is reduced cost, power, and latency, and also reduced risk of missing or mis-reading pulses during digitization. This talk will include an overview of emerging imaging solutions including various approaches to LIDAR and details of CIS/optics, as well as how analog AI can be used to improve the processing of the imaging solutions by reducing the chance of missing key data, pruning data in real time, and eliminating expensive components such as ADCs. The talk will also highlight several leading companies focused on analog AI technologies, as well as several academia R&D groups.

 

Please register online to secure your conference pass: http://www.adassensors.com/registration_form.html

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