Hosted by Unknown Host · EN · 5 episodes
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Lucas and Luna dissect the business of autonomous mobility — not the hype, but the unit economics, sensor supply chains, and regulatory timelines that separate viable players from vaporware. Each episode opens with fresh data: lidar sensor prices from Yole Group, NHTSA accident reports, Waymo and Cruise fleet expansion figures, and the latest SPAC filings from mobility-tech startups. Lucas, a journalist covering automotive tech for a decade, presses the numbers: 'Is L4 deployment actually accelerating, or are we just seeing more test miles reported?' Luna, an engineer turned product strategist, matches him with on-the-ground sourcing — what a procurement manager at a Tier 1 supplier told her about LiDAR yield rates, or why a city planner in Austin chose to restrict autonomous delivery bots. Together, they build a grounded picture of who's winning the talent war (former Tesla Autopilot engineers now at Aurora), which chip fabs are securing long-term contracts for radar SoCs, and why insurance premiums for robo-taxis remain a hidden drag on unit economics. They don't forecast a future; they interrogate the present. Can the autonomous-vehicle industry survive a capital winter? When does a prototype become a product? This show is for the investor, engineer, or policy analyst who needs to know where the puck is — not where the press release says it is.
Unknown Host hosts Self-Driving Cars with Fexingo: Autonomous Vehicles, Lidar, and Mobility Tech, a general show with 5 episodes published.
Lucas and Luna explore a persistent blind spot in self-driving technology: the inability to reliably detect and respond to emergency vehicles like ambulances and fire trucks. They examine real-world incidents, including
Self-driving cars can handle highways and city streets, but roundabouts remain a persistent challenge. In this episode, Lucas and Luna examine why circular intersections break autonomous vehicle logic — from unpredictabl
Unprotected left turns remain one of the hardest unsolved problems for self-driving cars. In this episode, Lucas and Luna unpack why a single human maneuver that takes two seconds is still stumping autonomous systems wit
Uber announced plans to put 500 data-collection vehicles on the road this year. Lucas and Luna dig into why this fleet exists, what it tells us about the state of autonomous vehicle training data, and how Uber is playing
Episode 29 of Self-Driving Cars with Fexingo: Lucas and Luna dig into one of the most stubborn unsolved problems in autonomous driving — the four-way stop intersection. While robotaxis handle highways and simple traffic
Episode 28 of Self-Driving Cars with Fexingo looks at a surprisingly human problem in autonomous mobility: lost items. When Uber published data showing thousands of items left behind in robotaxis — from Squishmallows to
Episode 27 of Self-Driving Cars with Fexingo dives into the persistent challenge of construction zones for autonomous vehicles. Lucas and Luna discuss why even the most advanced robotaxis and AVs still struggle to naviga
Episode 26 explores the hidden workforce behind autonomous vehicles: remote operators who take control when the AI gets confused. Lucas and Luna break down the economics of this emerging job market, using data from Rivia
In this episode of Self-Driving Cars with Fexingo, Lucas and Luna explore a paradigm shift in autonomous navigation: the move away from high-definition pre-mapped roads toward vehicles that learn to drive in unfamiliar e
Lucas and Luna explore why autonomous vehicle companies are quietly abandoning years of high-definition map data and starting over. Real-time mapping startups like DeepMap and Wayve are challenging legacy approaches from
In this episode of Self-Driving Cars with Fexingo, Lucas and Luna explore why traditional road-testing approaches are failing for autonomous vehicles. They discuss how simulation-first validation is becoming the industry
In this episode, Lucas and Luna explore why autonomous vehicle companies are increasingly designing their own custom chips instead of relying on off-the-shelf components. Using NVIDIA's dominance as a backdrop, they exam
Episode 21 of the Self-Driving Cars with Fexingo podcast digs into the unglamorous backbone of autonomous vehicle fleets: remote human operators. Hosts Lucas and Luna explore why every major robotaxi service, from Waymo
Episode 20 of Self-Driving Cars with Fexingo dives into the insurance data crisis facing autonomous vehicle fleets. Lucas and Luna explore why traditional actuarial models break down when machines drive, how a single acc
Episode 19 of Self-Driving Cars with Fexingo tackles the overlooked bottleneck in autonomous vehicle deployment: the humans in remote monitoring centers. Lucas and Luna explore how the promise of full autonomy has given
Every major self-driving company has promised autonomous trucks on U.S. highways by 2026. So why do most trucks still have a safety driver behind the wheel? Lucas and Luna dig into the hard operational problem that regul
Episode 17 of Self-Driving Cars with Fexingo explores a hidden bottleneck slowing autonomous vehicle development: data center energy consumption. Lucas and Luna break down how training a single full-stack autonomous driv
Episode 16 of Self-Driving Cars with Fexingo dives into the one robotaxi fleet that has turned a profit in 2026. We look at Baidu's Apollo Go in Wuhan, which hit operational breakeven in Q1 2026 by running 4,000 driverle
This episode of Self-Driving Cars with Fexingo examines a surprising trend in May 2026: traditional automakers like GM and Ford are surging ahead of Tesla in autonomous vehicle technology. Lucas and Luna break down the m
Episode 14 of Self-Driving Cars with Fexingo looks at an unexpected consequence of the autonomous vehicle boom: a growing market for used self-driving cars. Lucas and Luna dig into the mechanics of how robotaxi fleets re
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Self-Driving Cars with Fexingo: Autonomous Vehicles, Lidar, and Mobility Tech is hosted by Unknown Host. The show is categorised under General and has published 5 episodes.
Self-Driving Cars with Fexingo: Autonomous Vehicles, Lidar, and Mobility Tech has published 5 episodes.
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Episodes of Self-Driving Cars with Fexingo: Autonomous Vehicles, Lidar, and Mobility Tech average 10 minutes. a focused format where a clear narrative arc and tight preparation matter most.
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