『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
エピソード
  • Why Autonomous Vehicles Are Avoiding School Zones

    Why Autonomous Vehicles Are Avoiding School Zones
    2026/06/07
    Episode 37 of Self-Driving Cars with Fexingo digs into a stubborn blind spot for autonomous vehicles: school zones. Lucas and Luna explore why robotaxis still struggle with the chaotic mix of crossing guards, flashing signs, and unpredictable kids. They cite recent data showing a 23.1% drop in Lucid stock and a 10.4% slide in Ford, linking investor skepticism to the industry's failure to solve edge cases like school zones. The conversation covers the difference between static speed limit signs and dynamic school zone signals, why lidar struggles with children's erratic movements, and how regulators in California are pushing for a dedicated 'school zone mode.' A natural, specific look at one of the hardest unsolved problems in autonomy. #AutonomousVehicles #SchoolZones #SelfDriving #Robotaxis #Lidar #EdgeCases #Regulation #CaliforniaDMV #Lucid #Ford #Tesla #Waymo #Cruise #Technology #Business #FexingoBusiness #BusinessPodcast #MobilityTech Keep every episode free: buymeacoffee.com/fexingo
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    10 分
  • Why Autonomous Vehicles Still Can't Park Themselves Reliably

    Why Autonomous Vehicles Still Can't Park Themselves Reliably
    2026/06/07
    Episode 36 of Self-Driving Cars with Fexingo tackles the surprisingly stubborn problem of autonomous parking. While robotaxis handle complex highway merges and unprotected left turns, parallel parking and crowded garages still trip them up. Lucas and Luna break down why sensor blind spots, dynamic environments, and edge cases like valet lots remain unsolved. They reference recent stock drops in Tesla and Rivian as context for the industry's broader challenges. Plus: a look at how companies like Waymo and Bosch are approaching automated valet parking vs. on-street self-parking, and what it means for the timeline of truly driverless vehicles. #AutonomousVehicles #SelfDrivingCars #ParkingTechnology #Waymo #Tesla #Rivian #Bosch #AVChallenges #Robotaxi #Lidar #ComputerVision #EdgeCases #AutomatedValetParking #Technology #FexingoBusiness #BusinessPodcast #Fexingo #MobilityTech Keep every episode free: buymeacoffee.com/fexingo
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    8 分
  • How Autonomous Vehicles Handle Traffic Lights

    How Autonomous Vehicles Handle Traffic Lights
    2026/06/06
    In this episode, Lucas and Luna dive into a surprisingly tricky corner of autonomous driving: traffic lights. While most people assume traffic signals are simple for self-driving cars, the reality is far messier. Lucas explains how different municipalities use wildly different hardware and timing patterns — from old-school incandescent bulbs to LED arrays with strobe-like refresh rates. He breaks down the engineering nightmare of visual interference, the challenge of detecting lights at different angles, and how vehicle-to-infrastructure communication might bypass the problem entirely. Luna brings a real-world example from Pittsburgh, where a grid of adaptive traffic signals left a test fleet confused. They also touch on recent market data showing the broader autonomous vehicle sector under pressure — Tesla down 6% in five days, the Global X Autonomous & Electric Vehicles ETF down 7.1% — and ask whether solving infrastructure edge cases like traffic lights could be the key to unlocking investor confidence. A tight, specific tech conversation for anyone who wants to understand what's really holding self-driving cars back. #AutonomousVehicles #SelfDrivingCars #TrafficLights #Lidar #VehicleToInfrastructure #V2I #SmartCities #Pittsburgh #Tesla #AutonomousVehicleETF #Technology #Engineering #EdgeCases #Infrastructure #ComputerVision #FexingoBusiness #BusinessPodcast #SelfDrivingCarsWithFexingo Keep every episode free: buymeacoffee.com/fexingo
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    9 分
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