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Hosted by Fexingo · 🇺🇸 US · EN · 103 episodes
Established thought leaders with verified media credentials.
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 ins
Fexingo hosts Self-Driving Cars with Fexingo: Autonomous Vehicles, Lidar, and Mobility Tech, a business show with 103 episodes published.
Episode 129 of Self-Driving Cars with Fexingo explores why autonomous vehicles struggle with dead animal carcasses on the road. Lucas and Luna examine how lidar and cameras fail to classify deer that are no longer moving
Roundabouts are spreading across the US — more than 10,000 now. But self-driving cars still struggle with them. Lucas and Luna break down the specific challenge: the constant negotiation of yield, the lack of clear signa
Lucas and Luna explore why autonomous vehicles struggle with parking lots—a deceptively complex environment of narrow aisles, erratic pedestrians, and ambiguous signage. They discuss how Waymo and Cruise handle structure
Episode 126 of Self-Driving Cars with Fexingo tackles one of the most deceptively hard problems in autonomous driving: the four-way stop. Lucas and Luna break down why this seemingly simple intersection — governed by a f
Episode 125 of Self-Driving Cars with Fexingo tackles a persistent edge case: why autonomous vehicles still struggle to locate emergency vehicles by sound alone. Lucas and Luna break down the acoustic challenges — from D
Lucas and Luna dive into one of the most stubborn edge cases for autonomous vehicles: unpaved dirt and gravel roads. While highway driving is nearly solved, rural and off-road routes present unique challenges — from loos
In this episode of Self-Driving Cars with Fexingo, Lucas and Luna tackle one of the most deceptively difficult maneuvers for autonomous vehicles: the unprotected left turn. They break down why intersections without a ded
Episode 122 of Self-Driving Cars with Fexingo drills into a deceptively simple problem: faded lane markings. Lucas and Luna break down why computer vision systems fail when paint disappears, how road quality varies acros
Lucas and Luna dive into one of the most deceptively tricky edge cases for autonomous vehicles: the automated car wash. Why do lidar and camera systems get confused by spinning brushes, soap spray, and tight tunnels? The
Episode 120 dives into a deceptively hard problem for autonomous vehicles: the drive-thru lane. Lucas and Luna explore why fast-food restaurants are a worst-case scenario for self-driving systems — combining tight spaces
Lucas and Luna tackle one of the most frustrating gaps in autonomous driving: merging onto highways. Lucas explains why Tesla's Full Self-Driving, Waymo, and others still struggle with the physics of high-speed yield—esp
Episode 118 examines a persistent blind spot in autonomous vehicle perception: toll plazas. As of July 2026, self-driving systems struggle with the chaotic geometry of multi-lane toll booths, transient barriers, and unpr
In Episode 117, Lucas and Luna tackle a surprisingly stubborn problem for autonomous vehicles: potholes. Self-driving cars rely on predictable road geometry, but a pothole is a random, textureless void that confuses both
In this episode, hosts Lucas and Luna dive into the specific challenges autonomous vehicles face when entering tunnels – from GPS signal loss to lidar confusion in low-light, confined spaces. They reference the recent Wa
Episode 115 of Self-Driving Cars with Fexingo explores why autonomous vehicles struggle to detect and react to animals on roadways—from deer to livestock to pets. Using a 2025 incident in California where a Waymo swerved
Lucas and Luna unpack a persistent blind spot in autonomous vehicle technology: unpaved gravel roads. These surfaces cover millions of miles globally but are nearly invisible in AV training data. The hosts explore why li
In this episode, Lucas and Luna explore a persistent blind spot in autonomous vehicle perception: construction zones. They break down why temporary lane markings, orange cones, and human flaggers confuse even the most ad
Self-driving cars can handle highways and suburban streets, but school zones remain a uniquely hard problem. Lucas and Luna dive into why autonomous vehicles struggle with flashing beacons, crossing guards, unpredictable
Episode 111 of Self-Driving Cars with Fexingo drills into a specific, urgent edge case: lithium-ion battery fires in electric vehicles. Lucas and Luna explain why thermal runaway is uniquely challenging for autonomous ve
In this episode, Lucas and Luna explore a bizarre but persistent edge case for autonomous vehicles: horse-drawn carriages. While self-driving systems have improved dramatically in 2026, they still struggle to interpret t
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Self-Driving Cars with Fexingo: Autonomous Vehicles, Lidar, and Mobility Tech is hosted by Fexingo. The show is categorised under business and has published 103 episodes.
Self-Driving Cars with Fexingo: Autonomous Vehicles, Lidar, and Mobility Tech has published 103 episodes.
Self-Driving Cars with Fexingo: Autonomous Vehicles, Lidar, and Mobility Tech regularly covers business. It sits in the business category.
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Self-Driving Cars with Fexingo: Autonomous Vehicles, Lidar, and Mobility Tech hasn't explicitly signalled guest openness in recent episodes. That doesn't rule out pitching. your hook just needs to be especially compelling and relevant to their recent content.
Episodes of Self-Driving Cars with Fexingo: Autonomous Vehicles, Lidar, and Mobility Tech average 9 minutes. a focused format where a clear narrative arc and tight preparation matter most.
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