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 ins
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What is Self-Driving Cars with Fexingo: Autonomous Vehicles, Lidar, and Mobility Tech?
Self-Driving Cars with Fexingo: Autonomous Vehicles, Lidar, and Mobility Tech is a business podcast hosted by Fexingo, with 155 episodes on record and a Required Pod Score of 80. PitchCentric scores this show on Booking Probability, Listen Score, and live audience signals refreshed every 24 hours.
About the host
Fexingo hosts Self-Driving Cars with Fexingo: Autonomous Vehicles, Lidar, and Mobility Tech, a business show with 155 episodes published.
Our AI reads these to draft pitches. Use them as grounding for a pitch that cites a real guest and a specific topic.
Episode #159
Why Robotaxis Can't Handle Wet Leaves
Aug 18, 20267 minS4
Lucas and Luna explore why wet leaves are one of the last big obstacles for autonomous vehicles in 2026. They break down how a thin layer of organic debris confuses lidar and cameras, turning a common autumn scene into a system-wide problem. The episode covers the physics of wet leaves, the sensor blind spots they create, and what companies like Waymo and Tesla are doing about it. They also touch on the financial pressure this puts on robotaxi operators, with recent stock movements in Tesla, Rivian, and Lucid as backdrop. If you've ever wondered why your robotaxi slows to a crawl on a leafy street, this episode explains it all. #WetLeaves #AutonomousVehicles #Robotaxi #Lidar #SensorFusion #Waymo #Tesla #Rivian #Lucid #SelfDrivingCars #MobilityTech #AutumnDriving #FexingoBusiness #BusinessPodcast #Technology #AI #MachineLearning #Safety Keep every episode free: buymeacoffee.com/fexingo
In this episode of Self-Driving Cars with Fexingo, Lucas and Luna dig into a problem that remains stubbornly unsolved in 2026: how autonomous vehicles handle the chaos of leaves, debris, and other loose objects on the road. Lucas shares a recent incident where a robotaxi in Ann Arbor slammed on its brakes for a pile of wet maple leaves, causing a minor rear-end collision. The hosts explore why lidar and camera systems struggle to distinguish harmless organic matter from genuine obstacles, why no amount of training data has solved the 'leaf problem,' and what sensor-fusion engineers are trying next. They also touch on how this issue is a microcosm of the wider challenge of edge cases in self-driving technology. With the backdrop of a market where Tesla is up 2 percent this week while Rivian is down over 9 percent, the episode connects the technical hurdle to the business reality of autonomy. By the end, you'll understand why a single falling leaf can be as tough for a robotaxi as a construction zone. #SelfDrivingCars #Robotaxi #Lidar #SensorFusion #EdgeCases #AutonomousVehicles #LeafProblem #AnnArbor #Tesla #Rivian #Technology #MobilityTech #AI #MachineLearning #FexingoBusiness #BusinessPodcast #FexingoTech #Podcast Keep every episode free: buymeacoffee.com/fexingo
In this episode of Self-Driving Cars with Fexingo, Lucas and Luna dig into a deceptively tricky problem for autonomous vehicles: school zones. With the new school year starting across the U.S., robotaxi fleets are facing a fresh wave of challenges—from flashing beacons and crossing guards to unpredictable kids and parent pickup chaos. The hosts discuss why these zones are a 'perfect storm' for self-driving systems, how companies like Waymo and Tesla are tackling the issue, and why the slow, careful approach might be the only way forward. They also touch on the broader implications for the industry's growth, and how a recent dip in EV startup stocks reflects investor skepticism about near-term autonomy timelines. Tune in for a grounded look at one of the most human-centric tests of autonomous driving technology. #SelfDrivingCars #Robotaxis #AutonomousVehicles #SchoolZones #Waymo #Tesla #Lidar #MobilityTech #Technology #FexingoBusiness #BusinessPodcast #AI #Transportation #SafetyFirst #UrbanMobility #AVChallenges #SmartCities #FutureOfDriving Keep every episode free: buymeacoffee.com/fexingo
How Robotaxis Are Navigating Construction Zones in 2026
Aug 15, 202612 minS4
Episode 156 of Self-Driving Cars with Fexingo digs into the messy reality of construction zones — a daily obstacle for autonomous vehicles that doesn't get as much attention as roundabouts or tunnels. Lucas and Luna break down why temporary lane shifts, orange cones, and waving flaggers still trip up robotaxis, using real examples from recent deployments. They discuss the difference between map-based approaches and reactive vision, why some companies are training their models on synthetic construction scenes, and what the latest sensor fusion trends mean for safety. The conversation also touches on market moves, with Tesla up 3.4 percent over the week and Rivian down over 6 percent, plus what the recent lidar cost crunch means for perception strategies. If you've ever wondered why your robotaxi brakes at a cone, this episode explains the engineering challenges and the potential paths forward. #ConstructionZones #Robotaxi #SelfDrivingCars #AutonomousVehicles #Lidar #SensorFusion #AVSafety #Tesla #Rivian #Tech #Mobility #AI #FexingoBusiness #BusinessPodcast #Technology #FutureOfDriving #StreetSmarts #UrbanMobility Keep every episode free: buymeacoffee.com/fexingo
How Lidar Became the Robotaxi Industry's Costliest Blind Spot
Aug 14, 202611 minS4
This episode of Self-Driving Cars with Fexingo digs into the unsung economics of lidar—the laser sensor that gave robotaxis their first real eyes—and asks why it's still so expensive. Lucas and Luna trace the cost curve from early $75,000 units to today's solid-state modules, explain why the industry hasn't fully embraced them, and look at what the price drop means for safety and profit. With Tesla's stock up 3.4 percent over the past week and Rivian down 6.3 percent, they contrast the 'cameras only' crowd with the lidar-first approach, and report on the latest testing on California highways. If you've ever wondered why your robotaxi still has a spinning puck on the roof, this episode unpacks the real story. #Lidar #AutonomousVehicles #Robotaxi #SelfDrivingCars #MobilityTech #Technology #FexingoBusiness #BusinessPodcast #Tesla #Rivian #CaliforniaHighways #SolidStateLidar #Luminar #Velodyne #SensorCost #SafetyTech #Driverless #Economics Keep every episode free: buymeacoffee.com/fexingo
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