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

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

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

  • Why GM and Ford Are Beating Tesla in the Self-Driving Race

    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 market data showing Ford up 20% and GM up 10% in the past five days, while Tesla lags. They explore how legacy automakers are leveraging partnerships with lidar startups and cautious deployment strategies to win regulatory trust and public confidence. The hosts also discuss why investors are rewarding this approach, and what it means for the future of robotaxis and personal autonomous vehicles. A focused look at the changing competitive dynamics in self-driving tech.

    #SelfDrivingCars #AutonomousVehicles #GM #Ford #Tesla #Lidar #Robotaxis #AutomotiveTech #Technology #FexingoBusiness #BusinessPodcast #StockMarket #Investing #LegacyAutomakers #Regulation #AutonomousTrucks #EVStocks #MobilityTech

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    8 min
  • The Used Autonomous Vehicle Market Nobody Considered

    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 retire vehicles after 300,000 miles in three years, the residual value problem facing early-generation autonomous cars, and the surprising secondary buyers — from university research labs to small-city transit authorities. They cite recent stock moves in Ford (up over 17% in a week on robotaxi deployment news) and GM (up nearly 10%) as signals that the market is pricing in fleet turnover. The hosts also touch on the Trump administration's recent Volvo connected-car permit decision as a regulatory backdrop for data rights in used AVs. A focused conversation about depreciation, software lock-in, and the second life of lidar-equipped vehicles.

    #UsedAutonomousVehicles #RobotaxiFleets #AutonomousVehicleDepreciation #SelfDrivingCars #Lidar #Ford #GM #Volvo #ConnectedCars #AutomotiveResidualValue #FleetManagement #AutonomousVehicleRegulation #Technology #MobilityTech #FexingoBusiness #BusinessPodcast #SelfDrivingCarsPodcast #VehicleLifecycle

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    12 min
  • The Autonomous Vehicle Hiring Problem Nobody Solved

    Lucas and Luna explore the surprisingly stubborn challenge of finding talent for self-driving car companies. They break down why autonomous vehicle startups have quietly become some of the most desperate hirers in tech, how a single lidar calibration engineer can command a $400,000 salary, and the structural mismatch between the skills available and the skills needed. They also discuss what this means for the timeline of Level 4 autonomy and who is winning the talent war — legacy automakers, AV startups, or Big Tech. Plus, a look at how the market is pricing this tension into stocks like Tesla and Rivian.

    #SelfDrivingCars #AutonomousVehicles #TalentWar #AVHiring #LidarCalibration #Tesla #Rivian #AutonomousTrucks #Level4Autonomy #TechTalent #EngineeringShortage #AVStartups #RoboticsEngineer #FexingoBusiness #BusinessPodcast #TechnologyShow #StockMarket #LaborMarket

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    12 min
  • How Lidar Costs Dropped from 75K to 500 in Ten Years

    Lucas and Luna trace the astonishing cost reduction in lidar sensors — from a $75,000 unit on the early DARPA Grand Challenge vehicles to today's $500 solid-state sensors. They unpack the manufacturing innovations, the role of Chinese supply chains, and what this means for the self-driving industry's timeline. Along the way, they reference Rivian's 6.5% weekly gain and Ford's 14.6% surge as signals of shifting investor sentiment toward pragmatic autonomy.

    #Lidar #AutonomousVehicles #SelfDrivingCars #CostReduction #SolidStateLidar #DARPA #Velodyne #Luminar #Hesai #Manufacturing #SupplyChain #China #Rivian #Ford #Robotaxi #Technology #FexingoBusiness #BusinessPodcast

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    10 min
  • The Autonomous Vehicle Chip Fragmentation Problem

    In this episode of Self-Driving Cars with Fexingo, Lucas and Luna explore why the autonomous vehicle industry's shift to purpose-built silicon is creating a hidden fragmentation crisis. They break down how companies like NVIDIA, Qualcomm, and Tesla are each betting on different chip architectures, making it harder for software to scale across platforms. With references to recent market moves and the impact on robotaxi deployment timelines, the hosts explain why this chip war could determine which self-driving companies survive the next decade.

    #AutonomousVehicles #SelfDrivingCars #ChipFragmentation #NVIDIA #Qualcomm #Tesla #Mobileye #Robotaxi #Lidar #Semiconductors #AutomotiveTech #Technology #Business #FexingoBusiness #BusinessPodcast #Podcast #SelfDrivingCarsWithFexingo #ChipWar

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    13 min
  • Robotaxis Are Finally Learning to Handle Bad Weather

    Self-driving cars have mastered sunny Phoenix but still struggle with rain, fog, and snow. In this episode, Lucas and Luna look at how robotaxi operators — from Waymo to Chinese operators like Baidu — are tackling adverse weather in 2026. They discuss sensor fusion strategies, the role of thermal cameras, and why one startup is training neural networks on synthetic raindrops. Plus, they check the stock moves on DRIV and IDRV as the market bets on weather-ready autonomy.

    #SelfDrivingCars #AutonomousVehicles #Robotaxis #Lidar #Weather #Waymo #Baidu #DRIV #IDRV #SensorFusion #ThermalCameras #SyntheticData #AVSafety #AutonomyPlateau #FexingoBusiness #BusinessPodcast #Technology #MobilityTech

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    7 min
  • The Self-Driving Regulation Gap That Nobody Is Talking About

    Autonomous vehicles are hitting real roads in 2026, but there's a massive regulatory gap threatening deployment. Lucas and Luna dig into how the federal government has essentially punted oversight to states, creating a chaotic patchwork that companies like Waymo and Cruise have to navigate. They break down the specific split—the NHTSA handles vehicle design, but states regulate operations—and why that means a self-driving car legal in Arizona could be illegal in California. With the latest stock moves in Tesla, Rivian, and Ford, they explore what this means for investors and the timeline for truly driverless ride-hailing.

    #SelfDrivingCars #AutonomousVehicles #Regulation #NHTSA #Waymo #Cruise #Tesla #Rivian #Ford #Robotaxi #StateRegulation #AVPolicy #Liability #Insurance #Technology #FexingoBusiness #BusinessPodcast #MobilityTech

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    7 min
  • The Self-Driving Data War over Training Ground Truth

    Episode 8 zooms into the invisible bottleneck for autonomous vehicle development: how companies build, label, and license the high-definition ground-truth data sets used to train their perception systems. Lucas and Luna explore why data is becoming a proprietary moat, how lidar-camera fusion changed labeling workflows, and the surprising rise of synthetic data from game-engine simulations. With Rivian up 6.5% and Ford surging 14.6% in the past week, they ask whether traditional automakers' data advantages from millions of fleet miles give them an edge — or if today's data hunger means tomorrow's winner buys a data set instead of building one.

    #AutonomousVehicles #SelfDrivingCars #TrainingData #GroundTruth #Lidar #PerceptionStack #SyntheticData #Ford #Rivian #DataMoat #MachineLearning #Autonomy #Technology #BusinessPodcast #FexingoBusiness #SelfDrivingCarsWithFexingo #AVData #ComputerVision

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    8 min
  • The Hidden Winner in Autonomous Vehicles Chips

    Everyone talks about lidar and software when it comes to self-driving cars, but the real bottleneck might be the chips inside. Lucas and Luna dig into why autonomous-vehicle computing demands are exploding and how a few semiconductor players are quietly becoming the gatekeepers of the industry. They look at what an autonomous vehicle actually needs to process per second, why legacy auto suppliers are scrambling to partner with chip designers, and how this dynamic reshapes the supply chain. Specific numbers include the teraflops required for Level 4 autonomy versus Level 2, and the surprising growth in automotive chip revenue from companies like NVIDIA and Qualcomm. If you think the autonomous vehicle story is just about software, this episode will change your mind.

    #SelfDrivingCars #AutonomousVehicles #Chips #Semiconductors #NVIDIA #Qualcomm #AutomotiveTech #Lidar #Level4Autonomy #SupplyChain #Teraflops #Computing #Hardware #Technology #FexingoBusiness #BusinessPodcast #May2026 #AutomotiveIndustry

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    8 min
  • The Self-Driving Insurance Problem No One Solved

    Lucas and Luna tackle the messy insurance liability gap that autonomous vehicle companies face in 2026. With robotaxis and autonomous trucks operating in limited geographies, traditional auto insurance models break down. Lucas explains why Tesla's recent pivot to lidar doesn't fix the liability question, and digs into how a Berlin startup called Peec is quietly building the data infrastructure for usage-based autonomous insurance. Luna pushes back on whether drivers can trust a black-box underwriter. Specific data points: Peec's annualized revenue hit $10 million, and Ford stock jumped 14.6% in the past week. No crystal ball, just the structural friction holding back AV deployment.

    #SelfDrivingCars #AutonomousVehicles #Lidar #MobilityTech #Insurance #Peec #Tesla #Ford #Robotaxis #AutonomousTrucks #UsageBasedInsurance #Liability #Underwriting #BerlinStartup #Technology #FexingoBusiness #BusinessPodcast #FutureOfMobility

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    7 min

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

From the publisher's feed

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.