『Self-Driving Cars with Fexingo: Autonomous Vehicles, Lidar, and Mobility Tech』のカバーアート

Self-Driving Cars with Fexingo: Autonomous Vehicles, Lidar, and Mobility Tech

Self-Driving Cars with Fexingo: Autonomous Vehicles, Lidar, and Mobility Tech

著者： Fexingo
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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. #AutonomousVehicles #Lidar #MobilityTech #SelfDrivingCars #Waymo #Cruise #TeslaAutopilot #SensorSupplyChain #Robotaxi #Nuro #AuroraInnovation #NHTSA #AVRegulation #Business #FexingoBusiness #BusinessPodcast #Technology #DailyTechNews Keep every episode free: buymeacoffee.com/fexingo© 2026 Fexingo. All rights reserved. 経済学
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  • How Robotaxis Are Solving The Last Mile Problem

    How Robotaxis Are Solving The Last Mile Problem
    2026/09/10
    We are looking at the logistics of the last mile in autonomous mobility. Most people think robotaxis are just about point A to point B, but the real friction is getting passengers from the curb to their actual destination. We discuss how sensor fusion and urban mapping are solving this specific gap, using concrete examples of sidewalk navigation and crosswalk timing. This episode breaks down why the next wave of AV adoption depends on solving these short-distance hops, not just highway driving. #AutonomousVehicles #Robotaxis #LastMileLogistics #UrbanMobility #SensorFusion #SidewalkNavigation #CrosswalkSafety #AVTechnology #SelfDrivingCars #TechInnovation #FutureOfTransport #LucasAndLuna #FexingoBusiness #BusinessPodcast #TechTrends2026 #SmartCities #ConsumerTech #AVDeployment Keep every episode free: buymeacoffee.com/fexingo
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    7 分
  • How Robotaxis Navigate School Zones

    How Robotaxis Navigate School Zones
    2026/09/09
    School zones are the final boss for autonomous vehicles, demanding a level of human intuition that current AI struggles to replicate. In this episode, we examine why self-driving cars fail at school zones specifically, from unpredictable jaywalking patterns to the complex social cues of crossing guards. We break down the sensor limitations and decision-making bottlenecks that keep robotaxis hesitant in these high-density areas, exploring what it takes to build trust with parents and pedestrians alike. #AutonomousVehicles #Robotaxis #SelfDrivingCars #AIinTransportation #LidarTechnology #ComputerVision #UrbanMobility #SchoolZones #PedestrianSafety #MachineLearning #FexingoBusiness #BusinessPodcast #TechInnovation #FutureOfDriving #SmartCities #VehicleAutomation #TrafficEngineering #LucasAndLuna Keep every episode free: buymeacoffee.com/fexingo
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    7 分
  • The Hidden Tax on Autonomous Driving Data

    The Hidden Tax on Autonomous Driving Data
    2026/09/08
    We break down the invisible infrastructure cost of self-driving cars. While lidar and AI get the headlines, the real bottleneck is data ingestion at scale. We look at how companies like Tesla and Waymo manage petabytes of sensor data daily, why cloud storage costs are rising faster than hardware costs, and what that means for the future of robotaxi profitability. This is Episode 180. #AutonomousVehicles #SelfDrivingCars #DataInfrastructure #CloudComputing #RobotaxiEconomics #SensorFusion #BigDataStorage #TechIndustry #BusinessOfAI #CostStructure #ScaleProblems #LucasAndLuna #FexingoBusiness #BusinessPodcast #TechNews2026 #FutureOfMobility #EngineeringChallenges #MarketAnalysis Keep every episode free: buymeacoffee.com/fexingo
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    11 分
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