Questions tagged [autonomous-vehicles]
For questions related AI used to automate vehicles, including the autonomous vehicles capabilities of automated piloting and air traffic control for aircraft and orbital and interplanetary vehicles, automated driving of road vehicles, and other types of vehicle automation requiring intelligent acquisition and control systems.
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Why use Deep Learning instead of algorithms for decision making in self-driving cars?
Let's say I want to build a self-driving car that uses cameras and ai to detect objects and driving lanes.
So if the camera detects e.g. a car in front, it calculates the distance (using a sensor) and ...
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How does Tesla's autopilot generate 3d reconstruction of road?
Tesla uses stereo vision and in many applications it works OK but ground reconstruction is uniquely difficult since there aren't features to match.
I'm wondering how 3d reconstruction works here? Does ...
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How to properly combine multiple readings/measurements?
In an AI application (for example, self-driving), there are usually many different reading devices/sensors to ensure the outcome is correct. More specifically, a self-driving car can use object ...
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How do automatic high-beam headlights work on cars?
Modern cars can operate high-beam headlights automatically:
They automatically switch from high-beam headlights to low-beam ones (less intense) when you enter a town or there is a car in front of you ...
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What are the typical sizes of practical/commercial artificial neural networks?
I'm interested in artificial neural networks (ANN) and I wonder how big ANNs in practical use are, for example, Tesla Autopilot, Google Translate, and others.
The only thing I found about Tesla is ...
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Which is the best algorithm to predict the trajectory of a vehicle using lat/lon data?
I'm using Kalman Filter approaches and I've just implemented the extended Kalman filter (EKF) with my object 2D trajectory. However, I have a mess of alternative approaches that may fit better like ...
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Algorithms for training a two motor powered rc car without steering servo
Previously, I have build a donkey car where the steering of the two front wheels was done using a motor servo. This project was a success and the car was able to drive autonomously after training was ...
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What is the difference between object tracking and trajectory prediction?
In autonomous driving, we know that the behaviour prediction module is concerned with understanding how the agents in the environment will behave.
Similarly, in the perception module, the tracking ...
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How do self-driving cars perform lane changes?
I am a bit stuck trying to understand how a lane change is performed from an operational point of view.
Let's assume a self-driving car uses an occupancy grid map for local planning, this map may even ...
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Why can't DQN be used for self-driving cars?
Why can't DQN be used for self-driving cars?
Why can't DQN and similar RL algorithms be used for self-driving cars?
The reason why I am curious is that it successfully plays go and other multistate ...
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What kinds of techniques do autopilots of autonomous cars use?
What kinds of techniques do autopilots of autonomous cars (e.g. the ones of Tesla) use? Do they use reinforcement learning? Which types of neural network architecture do they use?
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How can I avoid displaying the velocity in the updated tracklets?
In target tracking, the dimensions of objects change, especially if they are detected using a LIDAR sensor. Also, the static objects in consecutive frames are not 100% static, their position changes a ...
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How can I combine the readings of multiple lidars into 1 point cloud? [closed]
I have a car with 8 lidars, each with a field of view of 60 degrees. My car looks like this:
How can I merge all the lidar readings into 1 point cloud?
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Can I use self-driving car's data set for left-hand drive cars which drive on the right lane for right-hand cars which drive on the left lane?
Can I use self-driving car's data set for left-hand drive cars which drive on the right lane for right-hand self-driving cars which drive on the left lane?
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Are self-driving cars using single frame or multiple frame to make decision?
This might be a trivial question but I couldn't find any reliable answers on the internet.
Almost all the neural network architectures for self-driving cars that I have seen on the internet have a ...
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Next step after lane detection in vehicle automation
I have an RC car with a camera, I have implemented so that i can detect lanes on my track (think like a nascar track). I want to get this car to be able to go around the track autonomous. But I am ...
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identifying pattern in datasets
i am new to machine learning. i'm trying to identify driving pattern through accelerometer and gyroscope sensor. i have been collecting the data of both the sensors and have been storing them in .csv ...
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How do self-driving cars construct paths?
I wonder how self-driving cars determine the path to follow. Yes, there's GPS, but GPS can have hiccups and a precision larger than expected. Suppose the car is supposed to turn right at an ...
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To what level of abstraction must fully automated vehicles build their driving model before safety can be maximized?
There are several levels of abstraction involved in piloting and driving.
Signals representing the state of the vehicle and its environment originating from multiple transducers1
Latched sample ...
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Creating a self learning Mario Kart game AI?
I will be undertaking a project over the next year to create a self learning AI to play a racing game, currently the game will be Mario Kart 64.
I have a few questions which will hopefully help me ...
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SEIF motion update algorithm doubt
I want to implement Sparse Extended information slam. There is four step to implement it. The algorithm is available in Probabilistic Robotics Book at page 310, Table 12.3.
In this algorithm line no:...
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What are applications of object/human tracking in autonomous cars?
Objects tracking is finding the trajectory of each object in consecutive frames. Human tracking is a subset of object tracking which just considers humans.
I've seen many papers that divide tracking ...
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Self-driving control logic based on semantic segmentation
In the context of autonomous driving, two main stages are typically implemented: an image processing stage and a control stage. The first aims at extracting useful information from the acquired image ...
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Do self-driving cars resort to randomness to make decisions?
I recently heard someone make a statement that when you're designing a self-driving car, you're not building a car but really a computerized driver, so you're trying to model a human mind -- at least ...
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What topologies support recognition of action sequences?
The ability to recognize an object with particular identifying features from single or multiple camera shoots with the temporal dimension digitized as frames has been shown. The proof is that the ...
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What functionality, does control look like in autonomous vehicles levels 4 and 5? [closed]
We are doing a research design project on autonomous vehicles and have some questions on AV Levels 4/5; specifically on the roles, impacts and consequences of AV on society, government, users and ...
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How long has it taken for autonomous driving cars to be being sold and used on the roads today?
I remember the first time hearing about google trying to make driverless cars. That was YEARS ago!
These days, I'm beginning to learn about Neural Nets and other types of ML and I was wondering:
...
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How is PDDL used in production AI systems?
I can't find much information on modern PDDL usage. Are there more popular alternatives, maybe something more suited to modern neural network/deep learning techniques?
I'm particularly interested in ...
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Will commercialisation and widespread use of A.I in security and surveillance and other household products threaten free will or endanger privacy?
Everything from facial recognition to the google home is coming equiped with A.I and it is being widely used , If autonomously connected to the internet , will A.I pose a threat to privacy or will it ...
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Semantic Segmentation how to upsampling
Many of the architectures that do semantic segmentation like SegNet, DilatedNet (Yu and Koltun), DeepLab, etc. do not work on high resolution images. For such benchmarks like Cityscapes, what is a ...
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Could the deployment of self-driving cars make rides free?
As self-driving technology is improving, there are so many companies developing self-driving cars like Google, Uber, etc. Is it possible that we won't need any private/paid self-driving cars and the "...
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Can a multi-camera system be used for localization, mapping, and obstacle detection in self-driving cars to within 10 cm of accuracy? Whither lidar?
I have a liberal arts background so I need help understanding this paper, particularly pages 26 to 30. The authors test a four-camera system for localization, mapping, and obstacle detection for self-...
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How will morality questions be settled in the domain of self-driving cars? [duplicate]
How will morality questions be settled in the domain of self-driving cars?
For example
If a dog is crossing the road, I'd expect the car to try to avoid it. But what if this leads to .00001% more ...
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What is an appropriate fitness function for a simulated self-driving car?
I have been working for ages on a neuro-evolution AI program, where cars learn how to race around a track. Presently, I have a rudimentary fitness function that awards points for every degree ...
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Is there a way to quantify the effect of this floating-point numbers encoding on the robustness ofclassification?
This question is related to the usage of NN in critical systems (those where a failure can cause life threatening situations - autopilots for example) and the need for formal guarantees on their ...
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What are the ethical and legal issues of self driving cars being released in the UK?
What are the ethical and legal issues of self driving cars being released in the UK?
This question came up on our exam today and I was left in a daze.
I initially thought it would be issues like the ...
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Why is it illegal for Google's autonomous car to drive on the road by itself?
If we have well designed autonomous AI vehicles, then why won't the USA government allow it to be witnessed in the public?
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What will happen when you place a fake speedsign on a highway?
I was wondering what will happen when somebody places a fake speedsign, of 10 miles per hour on a high way. Will a autonomous car slow down? Is this a current issue of autonomous cars?
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Why do self-driving cars use a radar?
The slideshow 10 astonishing technologies that power google’s
self-driving cars documents some of the technologies used in Google's self-driving car. It mentions a radar.
Why does Google use radar? ...
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What are the advantages of having self-driving cars?
What are the advantages of having self-driving cars?
We will be able to have more cars in the traffic at the same time, but won't it also make more people choose to use the cars, so both the traffic ...
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Why are autonomous cars categorized as AI?
How are autonomous cars related to artificial intelligence? I would presume that artificial intelligence is when we are able to copy the human state of mind and perform tasks in the same way. But isn'...
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What kind of road and weather conditions can a self-driving car deal with?
Can self-driving cars deal with snow, heavy rain, or other weather conditions like these? Can they deal with unusual events, such as ducks on the road?
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What technologies are needed for a self-driving car?
Google, Tesla or Apple have all built or are building their own self-driving cars. As an expert in a related area, I am interested in knowing at a high level, the systems and techniques that go into ...
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Once self-driving cars are perfected, will they replace manually driven cars? [closed]
After self-driving cars are perfected to the degree that accident statistics are lower for them than human driven cars, will they replace cars with human drivers? Will there eventually only be self-...
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Would Google's self-driving-car stop when it sees somebody with a T-shirt with a stop sign printed on it?
In Hidden Obstacles for Google’s Self-Driving Cars article we can read that:
Google’s cars can detect and respond to stop signs that aren’t on its map, a feature that was introduced to deal with ...
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How does Google's self-driving car identify pedestrians?
Based on the article Google's self-driving cars can now spot cyclists: Sensors can read hand signals and predict rider's behaviour, Google's self-driving cars can spot cyclists, cars, road signs, ...
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Why did a Tesla car mistake a truck with a bright sky?
Do we know why Tesla's autopilot mistaken empty sky with a high-sided lorry which resulted in fatal crash involving a car in self-drive mode? Was it AI fault or something else? Is there any technical ...
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How do Google cars recognize the traffic signs?
The paper Multi-column Deep Neural Networks for Image Classification (pages 7-8) shows an attempt at recognizing the traffic signs, with lower error rates, by using multi-column deep neural networks.
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What would happen if someone jumped in the front of a Google car?
The Situation:
A self-driving car is traveling at it's maximum speed, 25 mph (40 km/h), in the middle of an empty street with the ability to change lanes on both sides. There are two passengers, one ...
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Which machine learning algorithm is used in self-driving cars?
Which deep neural network is used in Google's driverless cars to analyze the surroundings? Is this information open to the public?
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