AI Self-Driving Cars Can Be Stubborn
About this episode
A tow-truck ramp becomes a stand-in for why self-driving cars can seem “stubborn.” The host notes that AI systems are typically focused on safe point A to point B driving, so unusual tasks—like climbing onto a flatbed—may be treated as an obstacle or an edge case the system isn’t trained for. When the AI won’t comply, fleet operators may rely on OTA updates or remote operator takeover, though critics warn about security risks.
Dr. Eliot explores how AI self-driving cars can be stubborn. See his Forbes column for further info: https://www.forbes.com/sites/lanceeliot/
Honda Element
"...cars and tail self-driving cars, the stubbornness element in the flatbed truck tail brings up an interestin..."
The Honda Element is a small SUV made by Honda. It’s designed to be practical and easy to use, with lots of usable space inside. It can be mentioned in self-driving discussions because it’s a normal, real vehicle that helps illustrate how automation works in everyday driving.
The Honda Element is a compact, boxy crossover/SUV known for its practical, utilitarian design and flexible interior space. In a discussion about self-driving cars, it may come up as an example of a real-world, everyday vehicle that can be used to think through how automation handles common driving situations and stubborn, real-world constraints. Its straightforward layout makes it a useful reference point when talking about vehicle behavior and system performance in the field.
self-driving car
"How can you convince an AI-based self-driving car to go where you wanted to go when it won't go there?"
A self-driving car is a car that uses sensors and computer software to drive itself. It’s great at common driving situations, but it can struggle with weird or unexpected tasks.
A self-driving car uses an AI driving system (sensors plus software) to control steering, braking, and acceleration without a human actively driving. In this episode, the key point is that the system is usually trained for normal road scenarios, not unusual recovery tasks.
flatbed
"Invasion envision a self-driving car that is supposed to get itself onto the flatbed of a tow truck."
A flatbed is the tow truck’s platform for carrying a car. It often has a ramp so the car can be rolled up onto it.
A flatbed is the truck bed used to tow vehicles, typically with a ramp that can be lowered for loading. In the episode, the flatbed ramp is the unusual “task” the self-driving system wasn’t trained for.
tow truck
"Invasion envision a self-driving car that is supposed to get itself onto the flatbed of a tow truck."
A tow truck is the vehicle that transports cars that can’t drive themselves. Here it’s used as an example of a situation the self-driving system may not understand.
A tow truck is a vehicle used to move disabled or improperly parked cars, often using a flatbed and ramp. The episode uses the tow truck as an example of an environment that can confuse an AI driving system’s perception.
sensors
"For example, if the sensors needed for driving weren't working properly, the car isn't likely going to be able to drive itself up the ramp."
Sensors are the car’s “eyes and ears” that gather information about what’s around it. If they’re not working, the car’s computer can’t understand the scene well enough to drive.
In self-driving cars, sensors are the hardware that measures the environment—such as detecting nearby objects, lane markings, and the vehicle’s surroundings. If those sensors aren’t working properly, the AI driving system can’t reliably interpret what’s in front of it.
point A to point B
"Keep in mind that the automakers are focusing their energies on getting AI driving systems to drive a car safely from point A to point B, such as going from someone's home to the grocery store."
This phrase means the car is mainly designed to get you from where you start to where you want to go. It may not be designed for special situations like being loaded onto a flatbed.
“Point A to point B” describes the typical design target for AI driving systems: safely navigating from a starting location to a destination along normal routes. The episode contrasts that with atypical tasks like tow-truck loading, which may not be covered by the training.
Ford Edge
"...he list of top priority efforts. At best, it's an edge or corner case. Unless an AI driving system has b..."
The Ford Edge is a mid-size SUV made by Ford. It’s built for regular driving and usually includes safety and driver-help features. It may be brought up in self-driving talks because automated systems have to handle not just easy situations, but also the tricky ones.
The Ford Edge is a mid-size crossover SUV built for everyday commuting and family use, typically equipped with modern driver-assistance features depending on model year and trim. In a self-driving or AI-driving conversation, it can be referenced as a representative vehicle where “edge cases” matter—situations that are uncommon but challenging for automated systems. That makes it relevant when discussing how well automation performs beyond the most straightforward driving scenarios.
edge or corner case
"Programming an AI driving system to climb up a ramp onto a flatbed is not very high on the list of top priority efforts. At best, it's an edge or corner case."
An edge case is an unusual situation the computer doesn’t see very often. If the car wasn’t trained for that exact scenario, it may not know what to do.
An edge or corner case is a rare scenario that the AI driving system may not have been trained to handle well. Because automakers focus on everyday driving (like point A to point B), unusual situations—like loading onto a tow truck—can fall outside the system’s comfort zone.
blob that is simply blocking the path forward
"In addition, the sensors would likely be detecting the tow truck and the flatbed and not be able to discern what it's all about. In short, the tow truck and its elements would appear to be a blob that is simply blocking the path forward."
Sometimes the car’s computer can’t clearly identify what it’s looking at. It may see the tow setup as a generic blockage, so it won’t try to drive forward.
This describes a perception failure mode: the AI’s sensor processing may not recognize the tow truck and ramp as a navigable structure. Instead, it may reduce them to a generic “obstacle” shape, causing the vehicle to stop rather than proceed.
refusing to try and drive up the ramp
"The AI driving system would likely balk at being commanded to drive ahead. You could say that the AI driving system was refusing to try and drive up the ramp."
The car may decide it’s not safe or not understood, so it won’t attempt the maneuver. It’s not a human-like refusal—more like the computer saying “I can’t handle this.”
This describes a safety behavior where the AI driving system declines to execute a maneuver because the situation doesn’t match what it expects. The episode frames it as non-conscious: the car isn’t “choosing” to refuse, it’s reacting to its perception and decision logic.
obstruction detector
"This is a refusal in the same manner that you might have a garage door with a built-in obstruction detector that won't finish closing the garage door until that object is out of the way."
An obstruction detector is a safety sensor that stops a machine if it senses something blocking it. The point is that the AI can behave similarly—stopping because it detects a hazard.
An obstruction detector is a safety sensor that prevents a mechanism from continuing when something is in the way. The host uses a garage-door example to explain that the self-driving system’s behavior can be safety-driven rather than a deliberate “decision.”
fleet
"Unlike conventional cars, it's anticipated that self-driving cars would be part of a fleet. The fleet operator will be able to use OTA over the air electronic communications to download software updates into the onboard AI driving system."
A fleet is a group of cars that are run and managed together. The operator can update them and help when something unusual happens.
In self-driving contexts, a fleet means multiple autonomous vehicles managed together by an operator. Fleet management enables coordinated updates (like OTA software) and centralized support such as remote assistance when edge cases—like tow-truck ramps—confuse the AI.
OTA over the air electronic communications
"The fleet operator will be able to use OTA over the air electronic communications to download software updates into the onboard AI driving system."
OTA updates are wireless software updates. Instead of bringing the car to a shop, the car can receive new instructions through a cellular/Wi‑Fi connection.
OTA (over-the-air) updates let a vehicle download new software wirelessly without visiting a dealer. For self-driving cars, this matters because the onboard AI driving system can be updated to handle new scenarios like unusual tow-truck ramp setups.
onboard AI driving system
"download software updates into the onboard AI driving system. It could be that the AI driving system has a special software-enabled mode or added software component that could be devised to cope with this kind of tow truck flatbed driving scenario."
This is the car’s built-in “brain” for driving. It uses sensors to understand what’s around it and then decides what the car should do.
An onboard AI driving system is the vehicle’s in-car computer and software stack that interprets sensor data and decides how to steer, brake, and accelerate. In this episode, it’s the part that would need a special mode or software component to cope with tow-truck flatbed ramp driving.
remote operator
"Another thought you might have would be to ask a remote operator of the fleet to take over the driving controls and manually drive the self-driving car up that ramp, though this does open a entire can of worms."
A remote operator is a person who can control the car from far away. It’s like a human “backup driver,” but it can create extra safety and security concerns.
A remote operator is a human who can take over driving control from off-board, typically via a network connection. The episode frames this as an alternative to fully autonomous behavior, but also warns it can introduce security and misuse risks.
remote accessible driving controls
"Some self-driving cars are going to be outfitted with remote accessible driving controls, and others will not. Those that are opposed to remote accessible driving controls point out that such a capacity could be used by bad actors in rather insidious ways."
This means the car can be controlled from outside by someone with access. The worry is that if access isn’t tightly protected, the system could be misused.
Remote accessible driving controls are systems that allow a human to control a self-driving car from outside the vehicle. The episode notes a key concern: if such access exists, it could be exploited by bad actors, so safety and security become central design requirements.
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