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

  • What Robotaxis Still Can't See in 2026

    Cars with lidar and cameras can read signs and stop for pedestrians, but when a plastic bag blows across the road or a deer leaps out at dusk, they hesitate. In this episode, Lucas and Luna look at why autonomous vehicles still struggle with non-standard objects and edge cases that don't show up in training data. They talk about the "long tail" problem, how companies gather edge-case data, and why the industry is now leaning on simulation and generative AI to fill the gaps. They also check in on the market: Tesla's up two and a half percent this week, while Lucid is down over six. The conversation touches on why the stock moves don't always reflect the tech hurdles. And they keep it ad-free, with a quiet note on how listener support keeps it that way.

    #AutonomousVehicles #SelfDrivingCars #Robotaxis #Lidar #Cameras #EdgeCases #LongTail #Simulation #GenerativeAI #Tesla #Lucid #Rivian #MobilityTech #Technology #Business #FexingoBusiness #BusinessPodcast #AI

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    10 min
  • Why Robotaxis Still Can't Handle Parked Cars

    In Episode 152, Lucas and Luna dig into a surprisingly stubborn problem for autonomous vehicles: the humble parked car. From delivery trucks double-parked in Manhattan to the chaos of street-sweeping day in San Francisco, robotaxis still struggle to tell a parked car from a stopped one. They break down why perception systems get confused by brake lights and open doors, how companies like Waymo and Cruise are trying to solve it with new sensor fusion and behavior prediction, and why the problem matters more as robotaxi fleets expand into dense cities. Along the way, they touch on the broader market landscape, including recent gains for Tesla and Rivian, and a surprising move by Uber to sell its stake in robotics startup Serve. Expect concrete examples, a clear explanation of the 'parked versus stopped' distinction, and a look at what needs to happen before robotaxis can truly navigate the messy reality of urban parking.

    #AutonomousVehicles #Robotaxis #SelfDrivingCars #ParkedCars #PerceptionSystems #Lidar #SensorFusion #Waymo #Cruise #Uber #Serve #Tesla #Rivian #UrbanMobility #Technology #FexingoBusiness #BusinessPodcast #AVSafety

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    12 min
  • Why Robotaxis Still Can't Handle Roundabouts in 2026

    In this episode of Self-Driving Cars with Fexingo, Lucas and Luna tackle a surprisingly stubborn challenge for autonomous vehicles: the humble roundabout. While self-driving cars have conquered highways and city grids, roundabouts remain a litmus test for AV decision-making. We break down why these circular intersections confuse even the most advanced sensor stacks, from the chaos of yielding rules to the unpredictable behavior of human drivers. We also look at how some companies are using simulation to teach AVs the unspoken etiquette of the roundabout, and why the problem is less about hardware and more about social reasoning. Tune in for a deep dive into the hidden complexity of a traffic feature you probably navigate without thinking.

    #AutonomousVehicles #Robotaxis #SelfDrivingCars #Roundabouts #AVTechnology #Lidar #SensorFusion #TrafficEngineering #Simulation #MachineLearning #Waymo #Cruise #MobilityTech #FutureOfDriving #TechPodcast #FexingoBusiness #BusinessPodcast #Technology

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    10 min
  • Why Robotaxis Still Struggle at Night in 2026

    On the 150th episode of Self-Driving Cars with Fexingo, Lucas and Luna zero in on a deceptively hard problem: nighttime operation. Despite lidar, radar, and thermal cameras, robotaxis in 2026 still trip over darkness. Lucas unpacks why night driving is not just a camera limitation but a full-stack sensing problem, touching on dynamic headlight glare, false positives from brake lights, and mapping that decays after sunset. Luna brings sharp listener-style questions, challenges the lidar-plus-camera orthodoxy, and notes that the industry's own test data shows night disengagement rates running double the daytime average. They also connect the dots to this week's market moves: Tesla's stock is up two percent over five days, Rivian up over four, while Lucid is down almost nine. The conversation lands on a forward-looking note about what it will take for robotaxis to safely handle the dark before scaling to new cities. Plus a brief, topic-tied note about listener support keeping the show ad-free.

    #SelfDrivingCars #Robotaxis #NightDriving #Lidar #AutonomousVehicles #AVTechnology #Tesla #Rivian #Lucid #MobilityTech #TechPodcast #BusinessPodcast #FexingoBusiness #Fexingo #Technology #AI #Sensors #UrbanMobility

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    11 min
  • Why Robotaxis Are Afraid of the Dark in 2026

    Darkness is the last frontier for autonomous vehicles, and new data shows why night driving is still a puzzle. Lucas and Luna dig into the physics of low-light sensing, the limits of cameras and lidar, and why night-time robotaxi expansion has quietly stalled. They reference Tesla's recent price surge, Honda's strong week, and the VIX's calm, tying market moves to the tech. Plus, a look at how synthetic data and thermal imaging might finally crack the problem.

    #AutonomousVehicles #Robotaxis #SelfDrivingCars #Lidar #NightDriving #ThermalImaging #Tesla #Honda #GM #Ford #Toyota #Technology #Business #FexingoBusiness #BusinessPodcast #MobilityTech #LowLight #SyntheticData

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    8 min
  • The Hidden Cost of Robotaxi Fleet Maintenance

    Robotaxis promise to slash the cost of transportation, but the dirty secret is the maintenance bill. In this episode, Lucas and Luna dig into why self-driving fleets are burning cash on cleaning, charging, and fixing vehicles that only logged a few thousand miles. They look at the real numbers behind fleet upkeep — from sensor calibration to cabin detailing — and why a robotaxi that never crashes can still go broke. Tune in for a fresh angle on the autonomy economy that most coverage misses.

    #AutonomousVehicles #Robotaxi #FleetMaintenance #SelfDrivingCars #MobilityTech #Lidar #SensorCalibration #FleetManagement #EVCharging #CostPerMile #Technology #Business #FexingoBusiness #BusinessPodcast #TechPodcast #Autonomy #CleanTech #Driverless

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    9 min
  • How Robotaxis Learn to Navigate Rush Hour

    On this episode of Self-Driving Cars with Fexingo, Lucas and Luna dive into the surprising reason why robotaxis still struggle with rush hour — and why the solution isn't just better sensors. They look at the challenge of predicting human driver impatience, from aggressive lane changes to tailgating, and how companies are teaching fleets to read subtle social cues. The conversation covers the shift from rule-based systems to machine learning models trained on millions of miles of real-world traffic, and why the next breakthrough might come from understanding group dynamics rather than individual behavior. They also touch on recent market moves for Tesla, Rivian, and the Global X Autonomous & Electric Vehicles ETF, and what those signals say about investor confidence in robo-taxi timelines. If you've ever wondered why your robo-taxi brakes for no reason in heavy traffic, or why it hesitates at a four-way stop, this episode explains the gap between current capability and the human-like fluidity we expect. Plus, a quick note on how listener support keeps the show ad-free.

    #Robotaxi #AutonomousVehicles #SelfDrivingCars #RushHour #Traffic #MachineLearning #Tesla #Rivian #EV #MobilityTech #Tech #FexingoBusiness #BusinessPodcast #Podcast #AI #Transportation #UrbanMobility #FutureOfDriving

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    6 min
  • Robotaxi Fleet Managers Are the New Power Brokers

    This week on Self-Driving Cars with Fexingo, Lucas and Luna explore the rise of fleet management companies as the quiet gatekeepers of the robotaxi industry. With Moove's recent $250 million raise, the episode drills into how companies that handle vehicle financing, maintenance, and charging are becoming essential partners for autonomous vehicle operators—and why their success might matter more than the next sensor breakthrough. The hosts break down what a fleet manager actually does, how the economics of owning versus operating robotaxis are shifting, and why investors are starting to pay attention to this behind-the-scenes layer. They also touch on how this model could reshape traditional car rental and leasing markets. If you've ever wondered who owns the cars in a robotaxi network, this episode answers that question with real numbers and a clear framework.

    #RobotaxiFleetManagers #MooveFunding #AutonomousVehicleOperations #FleetManagement #RobotaxiEconomics #SelfDrivingCars #AutonomousVehicles #MobilityTech #EVFleet #VehicleFinancing #RobotaxiBackbone #TechBusiness #FexingoBusiness #BusinessPodcast #TechnologyPodcast #StartupFunding #MobilityInvesting #FleetTech

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    9 min
  • The 360-Degree Camera Arms Race for Robotaxis

    In this episode of Self-Driving Cars with Fexingo, Lucas and Luna dive into a surprising battleground: the race to perfect 360-degree camera systems for robotaxis. As Tesla’s stock jumps nearly ten percent in five days and the Global X Autonomous & Electric Vehicles ETF climbs nine and a half percent, the hosts examine how companies like Waymo and Mobileye are pushing toward full surround-view perception. They unpack a prototype camera rig from a startup that captures twelve synchronized feeds at once, discuss the computational load of fusing these streams into a single 3D model, and question whether more cameras will truly solve the long-tail edge cases that still plague autonomous driving. With sharp analysis and a critical eye, Lucas and Luna explore whether the industry’s newest hardware arms race is a genuine leap forward or just more silicon chasing an impossible problem. A must-listen for anyone following the autonomous vehicle space in 2026.

    #AutonomousVehicles #SelfDrivingCars #Robotaxi #360Cameras #Lidar #Tesla #Waymo #Mobileye #PerceptionSystems #EdgeCases #Technology #Business #MobilityTech #Investing #ETFs #FexingoBusiness #BusinessPodcast #TechPodcast

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    8 min
  • Why Self-Driving Trucks Are Stuck in the Slow Lane

    In this episode of Self-Driving Cars with Fexingo, Lucas and Luna dig into why autonomous trucking, once hyped as the first big commercial win for self-driving tech, keeps hitting roadblocks. As of August 2026, Tesla's stock is up nearly 5 percent in five days, but Rivian is down 8 percent and GM has slipped almost 3 percent—a reminder that investor patience for autonomy is thinning. The hosts examine a concrete case: the shuffle in autonomous trucking leadership, the persistent challenge of hub-to-hub vs. door-to-door delivery, and why the 'driver out' moment keeps getting postponed. They also touch on the regulatory patchwork—why a truck that's legal in Texas still can't cross into California—and what that means for the economics. Expect sharp analysis, a few numbers you can quote at a dinner party, and a clear-eyed look at what's actually slowing the industry down. No hype, just the state of play in mid-2026.

    #SelfDrivingCars #AutonomousTrucks #Trucking #Logistics #Tesla #Rivian #GM #AutonomousVehicles #Technology #Business #Podcast #FexingoBusiness #BusinessPodcast #Lidar #Regulation #HubToHub #DriverOut #MobilityTech

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    8 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.