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 189 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 189 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 #191
How Robotaxis Are Solving The Last Mile Problem
Sep 19, 202613 minS4
While most autonomous vehicle coverage focuses on the complex driving mechanics or the high cost of lidar sensors, this episode examines a different bottleneck: the physical logistics of passenger pickup. We look at how ride-hailing giants are rethinking dispatch algorithms to solve the last mile problem for robotaxis in dense urban environments. With GM and Tesla competing on scale, we explore why the handoff between human and machine is becoming the new frontier for efficiency, using data from recent fleet expansions in San Francisco and Phoenix to see if these systems can truly reduce congestion rather than just shift it. #AutonomousVehicles #Robotaxi #LastMileProblem #FexingoBusiness #BusinessPodcast #TechLogistics #GM #Tesla #UrbanMobility #DispatchAlgorithms #PassengerExperience #CityPlanning #SelfDrivingCars #LidarTechnology #MarketData #TransportationTech #FutureOfTravel #EconomicImpact Keep every episode free: buymeacoffee.com/fexingo
Autonomous vehicle companies often claim their sensors see everything, but heavy rain reveals a fundamental gap in perception. We examine how lidar and cameras struggle against water droplets, why some manufacturers choose to pause operations rather than push through, and what this means for the safety timeline of robotaxis in 2026. #AutonomousVehicles #SelfDrivingCars #LidarTechnology #WeatherPerception #RobotaxiSafety #SensorFusion #TechInnovation #FutureOfMobility #EngineeringChallenges #AIAndData #BusinessPodcast #FexingoBusiness #LucasAndLuna #TechAnalysis #VehicleSensors #MarketTrends #AutomotiveTech #Ep190 Keep every episode free: buymeacoffee.com/fexingo
On this episode, Lucas and Luna examine the recent regulatory shift allowing Amazon-owned Zoox to expand its Nevada robotaxi fleet beyond the original one-hundred-vehicle cap. We drill into the specific engineering trade-offs that make Zoox’s bidirectional design different from competitors like Waymo and Tesla. By looking at the operational data from their Las Vegas corridors, we explore whether removing capacity limits solves the unit economics problem or just exposes deeper infrastructure gaps in urban autonomous driving. #AutonomousVehicles #Zoox #Robotaxis #Amazon #NevadaRegulation #LidarTechnology #WaymoComparison #UrbanMobility #SelfDrivingCars #TechInnovation #BusinessStrategy #Logistics #TransportationTech #FexingoBusiness #BusinessPodcast #FutureOfTransport #VehicleDesign #AIEngineering Keep every episode free: buymeacoffee.com/fexingo
We drill into the single most expensive and dangerous blind spot for autonomous vehicles: unstructured construction zones. With mapping data aging out in weeks rather than years, how do Lidar-equipped robotaxis interpret temporary cones, hand signals, and shifting lanes? We break down the engineering gap between static maps and dynamic reality, looking at why traditional automakers are lagging behind pure-play AI teams in this specific scenario. #AutonomousVehicles #Robotaxi #LidarTechnology #ConstructionZones #MappingData #SelfDrivingCars #AIEngineering #Waymo #Cruise #TeslaFSD #UrbanMobility #TechInvesting #FutureOfTransport #MachineLearning #ComputerVision #FexingoBusiness #BusinessPodcast #TechTrends2026 Keep every episode free: buymeacoffee.com/fexingo
Lucas and Luna dissect the stubborn problem of complex urban intersections for autonomous vehicles. With Nvidia investing heavily in AI infrastructure and traditional automakers like Toyota adjusting their market positions, we explore why a simple left turn at a busy intersection remains harder than highway driving. We look at the sensor fusion challenges, the liability costs, and the specific data gaps that are slowing down the robotaxi rollout in dense city centers right now. #AutonomousVehicles #RobotaxiTechnology #LidarSensors #UrbanMobility #NvidiaAI #ToyotaSafety #SelfDrivingCars #TransportationTech #FexingoBusiness #BusinessPodcast #CarIndustry #FutureOfDriving #AIInfrastructure #TechInvesting #SmartCities #VehicleSensorFusion #TrafficComplexity #AutomotiveInnovation Keep every episode free: buymeacoffee.com/fexingo
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