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

  • The Hidden Software Problem Slowing Down Autonomous Trucks

    Episode 5 of Self-Driving Cars with Fexingo dives into the software bottleneck that's delaying autonomous trucking deployments. Lucas and Luna examine why the sensor stack has largely been solved but the planning and decision-making software still struggles with edge cases like highway merges and construction zones. They reference a recent McKinsey report showing autonomous trucking could add $1.5 trillion to the economy by 2035, but only if the software reliability hurdle is cleared. The hosts also touch on how Tesla's pivot to lidar in 2026 reflects a broader industry recognition that pure vision systems hit a ceiling. Rivian's stock jump of 6.5% in the last five days is linked to its partnership with a software firm specializing in highway autonomy. No clickbait, just a clear look at what's actually holding back self-driving trucks.

    #AutonomousTrucks #SelfDrivingCars #AutonomousVehicles #Lidar #SoftwareBottleneck #EdgeCases #HighwayAutonomy #Tesla #Rivian #McKinsey #FexingoBusiness #BusinessPodcast #Technology #AutonomousDriving #Trucking #Logistics #SupplyChain #FutureOfWork

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    10 min
  • Why Robotaxis Keep Getting Stuck in Construction Zones

    Episode 4 of Self-Driving Cars with Fexingo dives into the mundane but critical problem that's stalling autonomous vehicle deployment: construction zones. Lucas and Luna break down why Waymo just paused freeway rides in several cities after its robotaxis repeatedly failed to navigate lane shifts and temporary barriers. They connect this to a broader industry reality — self-driving systems still struggle with unstructured, human-built chaos that changes daily. The hosts discuss the sensor fusion gap, why lidar alone can't solve it, and what companies like Tesla's pivot to lidar and Waymo's cautious expansions mean for the timeline. They also touch on market reactions: Rivian up 2.6% despite broader EV weakness, and NIO down 8.2% amid China delivery concerns. This episode is a reality check on the gap between demos and deployment.

    #SelfDrivingCars #AutonomousVehicles #Robotaxis #Waymo #ConstructionZones #Lidar #Tesla #Rivian #NIO #SensorFusion #AVSafety #MobilityTech #Technology #FexingoBusiness #BusinessPodcast #Podcast #AutonomousDriving #EdgeCases

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    7 min
  • Why Tesla Is Pivoting to Lidar in 2026

    Lucas and Luna explore Tesla's surprising shift toward lidar technology for its self-driving fleet. Once dismissed by Elon Musk as unnecessary, lidar is now being quietly integrated into Tesla's test vehicles. The hosts break down the specific numbers: Tesla's stock is down 1% this week, while lidar-ETF DRIV is flat. They discuss what this means for the autonomous vehicle industry, how it compares to competitors like Waymo and Cruise, and whether this is a tactical hedge or a full strategic reversal. Tune in for a focused, data-driven conversation about one of the biggest pivots in self-driving tech.

    #Tesla #Lidar #SelfDrivingCars #AutonomousVehicles #ElonMusk #Waymo #Cruise #DRIV #TSLA #MobilityTech #Technology #Business #Podcast #FexingoBusiness #BusinessPodcast #2026 #AutonomousDriving #SensorTech

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    7 min
  • Self-Driving Cars Hit a Hard Plateau in 2026

    Episode 2 of Self-Driving Cars with Fexingo looks at why autonomous vehicle stocks are getting hammered in May 2026. Lucas and Luna break down the 5-to-10% drop across Tesla, Rivian, Lucid, and NIO, and connect it to a broader reckoning: the industry is hitting a technical and regulatory plateau. They dig into the specific numbers behind Waymo's stalled expansion in San Francisco, the $200 billion question around Nvidia's automotive chip business, and whether the lidar-vs.-camera debate actually matters anymore. If you follow mobility tech, this episode gives you a concrete framework for what's happening right now. Plus, a quick moment on how listener support keeps the show ad-free.

    #AutonomousVehicles #SelfDrivingCars #Tesla #Rivian #Lucid #NIO #Waymo #NVIDIA #Lidar #MobilityTech #Technology #Business #Investing #StockMarket #2026 #FexingoBusiness #BusinessPodcast #EVs

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    10 min
  • The Lidar Startup That Survived the Automotive Bloodbath

    In the first episode of Self-Driving Cars with Fexingo, Lucas and Luna examine why autonomous vehicle stocks have been hammered in May 2026, with Tesla, Rivian, Lucid, and NIO all down between 9% and 12% in five days. But one lidar company quietly posted a revenue beat last week. Lucas breaks down the numbers, the technology shift from spinning lasers to solid-state sensors, and why a single contract with a European automaker changed the narrative. Luna challenges whether lidar is even necessary if Tesla's vision-only approach works. The conversation sets the tone for a show that digs into specific business decisions, supply-chain realities, and the gap between hype and deployment. No hot takes. Just the engineering and economics behind the car that drives itself.

    #SelfDrivingCars #Lidar #AutonomousVehicles #Tesla #Rivian #Lucid #NIO #SolidStateLidar #Innoviz #Luminar #MobilityTech #AutomotiveTech #Technology #BusinessStrategy #SupplyChain #FexingoBusiness #BusinessPodcast #May2026

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    9 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.