Interviews with experts.
Igal Raichelgauz
CEO | Autobrains
In this episode we discuss how self learning AI allows AVs to improve without labeled data, the limitations of requiring training data to improve AV performance, and Autobrains’ go-to-market approach over the next several years.
Eran Shir
CEO and Co-founder | Nexar
In this episode we discuss Nexar’s approach to building a “swarm sensor”, and how this modality will enable AVs with higher fidelity training data. We also explore the go-to-market mechanics of bringing a network sensor to the industry.
Christine Moon & Joel Pazhayampallil
President & CEO | BlueSpace.ai
In this episode we discuss 4D predictive perception, how this approach addresses the existing and future challenges of AV development, and BlueSpace’s go to market strategy over the next few years.
Koosha Kaveh & Sandip Gangakhedkar
CEO & CTO | Imperium Drive
In this episode we discuss teleoperations and why it is important for AVs, the challenges in ensuring safe teleoperations regardless of connectivity, and Imperium Drive’s go to market strategy over the next few years.
Steven Hong
CEO and Co-founder | Oculii
In this episode we discuss how AI-powered software can improve the resolution of radar by orders of magnitude, the merits of both software only and full stack approaches to radar development, and how the AV and ADAS markets will continue to develop over the next half decade.
Shahin Farschi #2
Partner | Lux Capital
In this episode we discuss Amazon’s acquisition of Zoox, how the AV market has changed over the last 3 years, and the ripple effects R&D associated with AVs will have on the broader market.
Kevin McNamara
Founder and CEO | Parallel Domain
In this episode we discuss synthetic data and how it is used in training AVs, how AV companies are thinking about buying versus building this data moving forward, and whether or not synthetic data will replace real data in the future.
Chris Barker
President | CBC
In this episode we discuss the Las Vegas autonomous shuttle project, the current state of connected vehicles, and what the Infrastructure Investment and Jobs Act means for smart cities of the future.
Radha Basu
CEO | iMerit Technology Services
In this episode we discuss the data demands of AV companies, how iMerit helps them with complex edge cases, and the biggest challenges that still need to be addressed to further advance autonomous mobility in cities across the US.
Eitan Gertel
Founder & Executive Chairman | Opsys Technologies
In this episode we discuss Opsys’s approach to building a solid state LiDAR, how economies of scale will help drive costs down in the near term, and the company’s go to market approach over the next few years.
Paul Newman
Founder & CTO | Oxbotica
In this episode we discuss the complexities of developing AV technology that can be retrofitted onto any vehicle, Oxbotica’s go to market strategy and how they approach partnerships, and Paul’s vision for what the path to commercialization looks like for autonomous passenger vehicles.
Cibby Pulikkaseril
Founder & CTO | Baraja
In this episode we discuss Baraja’s approach to developing a truly solid state LiDAR, the pathway to building sensors that are cheaper and smaller for mass market adoption, and the company’s go to market strategy over the next few years.
Tom Jellicoe
Head of Autonomous Technologies | TTP
In this episode we discuss the various approaches to LiDAR seen in the marketplace, a few companies to watch in today’s competitive landscape, and where Tom sees LiDAR technology going in the future.
Bill Grabowski
Head of North America | ADASKY
In this episode we discuss the merits of thermal imaging cameras, the reasons why they haven’t been widely adopted to date, and ADASKY’s approach to bringing thermal cameras to the ADAS and AV markets.
John Xin
Co-founder & CEO | Lunewave
In this episode we discuss the entrepreneurial journey and what it’s like to start a company in the AV industry, the pros and cons of various business models within the automotive supplier ecosystem, and how radar fits into the ADAS and AV perception stack.
Sunny Lee
COO | StradVision
In this episode we discuss the pros and cons of deep learning based vision software for ADAS and AVs, how a company’s decision to use LiDAR has more to do with their business model than their perception stack, and what it’s like being COO at a growth stage AV company.
Mahmoud Saadat
Co-founder & CEO | Zadar Labs
In this episode we discuss common perception approaches across the industry, the benefits of using imaging radar in the perception stack, and what it has been like as a first time founder starting a company in the AV space.
Jianxiong Xiao
Founder & CEO | AutoX
In this episode we discuss how the AV landscape in the Chinese market differs from Silicon Valley, the pros and cons of different AV business models, and the technological complexity of creating fully hardware/software integrated vehicles for commercial use.
Yaser Khalighi
Founder & CEO | Caliber Data Labs
In this episode we discuss the “needle in a haystack” problem engineers face when developing machine learning models for AVs, and how Caliber helps them cut through the noise to find the most valuable data for training specific scenarios.
Chris Heiser
Co-founder & CEO | Renovo
In this episode we discuss the challenges and opportunities associated with the massive datasets created by vehicles today, how this data can and will be commercialized in the coming years, and what this all means for software development in the automotive industry.
Sarah Park & Jae Paik
Co-founders | zero5
In this episode we discuss how the commercialization of AVs will convert our parking garages into tech-enabled marketplaces, how ride-sharing companies like Uber and Lyft are thinking about storing their AV fleets in the off-hours, and what it’s like to start a company in the still very nascent AV industry.
Çetin Meriçli
Co-founder | Locomation
In this episode we discuss the impact that AV technology will have on the trucking industry, how Locomation’s convoy approach differs from fully autonomous and driver assistance systems, and the path to bringing this technology to market over the next few years.
Co-founder | Humanising Autonomy
In this episode we discuss the challenges AVs face in predicting human behavior, how cultural differences affect the way pedestrians interact with vehicles, and what this all means for the commercial rollout of AVs across the globe.
Investor | Highland Capital Partners
In this episode we discuss how AV development is creating opportunities in AI, simulation, and mapping, why Tesla doesn’t use LiDAR, Apple’s acquisition of Drive.ai, and predictions around what current trends mean for the future of the AV landscape.
PhD Student (City Planning) | University of California, Berkeley
In this episode we discuss the effects AVs will have on urban planning and public policy, what TNCs like Uber and Lyft will look like in an autonomous future, and Marcel’s predictions for the next 5 years on the broader AV landscape.
Founder & CTO | Dactle
In this episode we discuss the limitations of using safety drivers to train AVs, and the challenges companies may face as they bring this technology to market in the next few years.
Founder / CEO & Senior Engineer | Applied Intuition
In this episode we discuss why advanced simulation is important for AV development, the cultural differences and similarities between Detroit and Silicon Valley, market dynamics as companies choose between vertical and horizontal development strategies, and predictions for the future of the autonomy revolution.
Mobility Solutions Expert | Beryl
In this episode we discuss the key takeaways from a white paper Sarah co-authored on the effects AVs will have on our future cities, the role cities should play as AV technology hits the streets, and Sarah’s predictions for the next five years on the broader mobility ecosystem.
Founder | Civil Maps
In this episode we discuss how autonomous vehicles use HD maps to build an understanding of their environment, regulation challenges as major players go to market, and an open source project named Apollo which has many US companies uploading detailed map information of US cities to a cloud hosted by Chinese internet giant Baidu.
Partner | Lux Capital
In this episode we discuss Shahin’s investments in Zoox and Aeva, the evolution of the automotive industry, regulatory and public adoption challenges, and his predictions for the next 5-10 years on the autonomous vehicles space.