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7 books on Self-driving Cars [PDF]
November 04, 2024 | 22 |
These books explain technologies used in self-driving cars, including computer vision, sensor fusion, machine learning and vehicle control systems. They explore the challenges of real-world navigation, safety, regulatory compliance and human-vehicle interaction.
1. How to Build Self-Driving Cars From Scratch
2024 by Bolakale Aremu
Imagine setting out to build your very own self-driving car, armed with nothing but Python, Pyglet and a hearty dose of optimism. In How to Build Self-Driving Cars From Scratch, Bolakale Aremu takes you through a step-by-step process that's as illuminating as it is daunting, with all the elegant chaos of hitching a ride through the galaxy. From getting your virtual wheels to roll, to teaching those wheels not to crash into everything in sight (or, at least, most things), you’ll find yourself navigating the thrill of neural networks, the unpredictability of genetic algorithms and the sheer determination of virtual cars wobbling along newly learned tracks. It's a guide not only to automation but also, perhaps, to surviving the absurdity of it all—with a repository full of simulations, scripts and assets that, much like a trusty towel, are there to save your sanity.
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2. Self Driving Car: Solving Full Self-driving Need Solving Real-world Artificial Intelligence
2022 by Fouad Sabry
If there’s one thing that makes a car drive itself, it’s not the magic of gremlins but the relentless march of artificial intelligence—and the occasional malfunction that keeps everything exciting. Self Driving Car by Fouad Sabry charts the erratic course of autonomous vehicles from their humble robo-car beginnings to Tesla's attempts at convincing us they know what they're doing. It's a whirlwind tour through techno-utopias and very real liability concerns, with appearances from Waymo, Apple’s top-secret car dreams and the charmingly human impulse to turn anything, even taxis, into something robot-run. Sabry doesn’t just unravel the tech, he tackles the quirkiness, pitfalls and ambitions of the self-driving frontier—a field that, much like human driving, has an annoying habit of being almost there, but not quite.
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3. AI-enabled Technologies for Autonomous and Connected Vehicles
2022 by Yi Lu Murphey, Ilya Kolmanovsky, Paul Watta
For those who like their autonomous vehicle books crammed with more jargon than a Vogon constructor fleet manual, AI-enabled Technologies for Autonomous and Connected Vehicles is precisely what the universe ordered. Yi Lu Murphey and colleagues deliver a banquet of acronyms, complex machine learning techniques and control theory musings, all wrapped up with a discussion of energy efficiency (as if trying to ensure the future isn’t just smarter, but possibly kinder to the environment). From deep learning to V2X communications—which sounds just like an intergalactic distress call—this book leaves no stone unturned in its quest to give researchers and policymakers the arsenal they need to navigate the future of mobility, possibly while wondering why no one ever invented easier-to-remember terms.
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4. The Tech Behind Self-Driving Cars
2019 by Matt Chandler
Ah, self-driving cars—the dream of every person who’s ever looked at traffic and thought, “Surely a robot can do better.” In The Tech Behind Self-Driving Cars, Matt Chandler explains the seemingly miraculous technology that stops self-driving cars from behaving too much like their human counterparts—namely, by not texting while accelerating. Readers are taken through a maze of sensors, automation and the occasional philosophical quandary about the meaning of "control." It's a cheerful exploration of how a hodgepodge of cameras, computer chips and uncanny human-like decision-making has somehow turned what was once science fiction into science, albeit with the occasional glitch reminding us why we like steering wheels.
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5. Self-Driving Cars: The New Way Forward
2018 by Michael Fallon
Michael Fallon takes us on a ride through the history, technology and occasional mishap of autonomous vehicles in Self-Driving Cars: The New Way Forward. From the early, comically unreliable attempts to make cars drive themselves to the almost-magical software that keeps today’s versions on the road, this book covers it all, including the controversies that arise when machines start thinking they're as clever as us. Fallon’s exploration includes the triumphs, the roadblocks and the ongoing debate on whether mass adoption of self-driving cars will mean salvation for commuters or just a whole new set of weird road problems. It’s a look at how automation might just be our future, or, at the very least, an entertaining way to get stuck in traffic.
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6. How Self-Driving Cars Work
2018 by Ian Chow-Miller
For the younger reader who’s ever wondered why the family sedan isn’t yet chauffeuring them to school without parental assistance, Ian Chow-Miller’s How Self-Driving Cars Work answers those burning questions. It’s a deep dive into the complex circuitry, algorithms and sheer technological wizardry that somehow stops self-driving cars from mistaking a stop sign for a tree. All of this is explained in a way that’s easy to grasp and peppered with just enough “isn’t this the coolest thing ever?” moments to inspire the next generation of engineers—or at least keep them entertained until self-driving school buses are a reality.
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7. Driverless: Intelligent Cars and the Road Ahead
2016 by Hod Lipson, Melba Kurman
In Driverless: Intelligent Cars and the Road Ahead, Hod Lipson and Melba Kurman make a compelling case for a driverless future that’s cleaner, greener and possibly free from the horrors of parallel parking. They take readers through the astonishing evolution of autonomous tech, explain why deep learning has given robots the sort of keen eyesight we’ve always wished for at night and lay out the challenges that stand between us and a utopian traffic-free future. It’s the sort of book that might leave you daydreaming about a future when cars are cleverer than drivers and all of humanity’s road woes can be neatly fixed by algorithms—just as soon as we get everyone on board, from car manufacturers to the perpetually anxious public.
Download PDF
How to download PDF:
1. Install Google Books Downloader
2. Enter Book ID to the search box and press Enter
3. Click "Download Book" icon and select PDF*
* - note that for yellow books only preview pages are downloaded
1. How to Build Self-Driving Cars From Scratch
2024 by Bolakale Aremu
Imagine setting out to build your very own self-driving car, armed with nothing but Python, Pyglet and a hearty dose of optimism. In How to Build Self-Driving Cars From Scratch, Bolakale Aremu takes you through a step-by-step process that's as illuminating as it is daunting, with all the elegant chaos of hitching a ride through the galaxy. From getting your virtual wheels to roll, to teaching those wheels not to crash into everything in sight (or, at least, most things), you’ll find yourself navigating the thrill of neural networks, the unpredictability of genetic algorithms and the sheer determination of virtual cars wobbling along newly learned tracks. It's a guide not only to automation but also, perhaps, to surviving the absurdity of it all—with a repository full of simulations, scripts and assets that, much like a trusty towel, are there to save your sanity.
Download PDF
2. Self Driving Car: Solving Full Self-driving Need Solving Real-world Artificial Intelligence
2022 by Fouad Sabry
If there’s one thing that makes a car drive itself, it’s not the magic of gremlins but the relentless march of artificial intelligence—and the occasional malfunction that keeps everything exciting. Self Driving Car by Fouad Sabry charts the erratic course of autonomous vehicles from their humble robo-car beginnings to Tesla's attempts at convincing us they know what they're doing. It's a whirlwind tour through techno-utopias and very real liability concerns, with appearances from Waymo, Apple’s top-secret car dreams and the charmingly human impulse to turn anything, even taxis, into something robot-run. Sabry doesn’t just unravel the tech, he tackles the quirkiness, pitfalls and ambitions of the self-driving frontier—a field that, much like human driving, has an annoying habit of being almost there, but not quite.
Download PDF
3. AI-enabled Technologies for Autonomous and Connected Vehicles
2022 by Yi Lu Murphey, Ilya Kolmanovsky, Paul Watta
For those who like their autonomous vehicle books crammed with more jargon than a Vogon constructor fleet manual, AI-enabled Technologies for Autonomous and Connected Vehicles is precisely what the universe ordered. Yi Lu Murphey and colleagues deliver a banquet of acronyms, complex machine learning techniques and control theory musings, all wrapped up with a discussion of energy efficiency (as if trying to ensure the future isn’t just smarter, but possibly kinder to the environment). From deep learning to V2X communications—which sounds just like an intergalactic distress call—this book leaves no stone unturned in its quest to give researchers and policymakers the arsenal they need to navigate the future of mobility, possibly while wondering why no one ever invented easier-to-remember terms.
Download PDF
4. The Tech Behind Self-Driving Cars
2019 by Matt Chandler
Ah, self-driving cars—the dream of every person who’s ever looked at traffic and thought, “Surely a robot can do better.” In The Tech Behind Self-Driving Cars, Matt Chandler explains the seemingly miraculous technology that stops self-driving cars from behaving too much like their human counterparts—namely, by not texting while accelerating. Readers are taken through a maze of sensors, automation and the occasional philosophical quandary about the meaning of "control." It's a cheerful exploration of how a hodgepodge of cameras, computer chips and uncanny human-like decision-making has somehow turned what was once science fiction into science, albeit with the occasional glitch reminding us why we like steering wheels.
Download PDF
5. Self-Driving Cars: The New Way Forward
2018 by Michael Fallon
Michael Fallon takes us on a ride through the history, technology and occasional mishap of autonomous vehicles in Self-Driving Cars: The New Way Forward. From the early, comically unreliable attempts to make cars drive themselves to the almost-magical software that keeps today’s versions on the road, this book covers it all, including the controversies that arise when machines start thinking they're as clever as us. Fallon’s exploration includes the triumphs, the roadblocks and the ongoing debate on whether mass adoption of self-driving cars will mean salvation for commuters or just a whole new set of weird road problems. It’s a look at how automation might just be our future, or, at the very least, an entertaining way to get stuck in traffic.
Download PDF
6. How Self-Driving Cars Work
2018 by Ian Chow-Miller
For the younger reader who’s ever wondered why the family sedan isn’t yet chauffeuring them to school without parental assistance, Ian Chow-Miller’s How Self-Driving Cars Work answers those burning questions. It’s a deep dive into the complex circuitry, algorithms and sheer technological wizardry that somehow stops self-driving cars from mistaking a stop sign for a tree. All of this is explained in a way that’s easy to grasp and peppered with just enough “isn’t this the coolest thing ever?” moments to inspire the next generation of engineers—or at least keep them entertained until self-driving school buses are a reality.
Download PDF
7. Driverless: Intelligent Cars and the Road Ahead
2016 by Hod Lipson, Melba Kurman
In Driverless: Intelligent Cars and the Road Ahead, Hod Lipson and Melba Kurman make a compelling case for a driverless future that’s cleaner, greener and possibly free from the horrors of parallel parking. They take readers through the astonishing evolution of autonomous tech, explain why deep learning has given robots the sort of keen eyesight we’ve always wished for at night and lay out the challenges that stand between us and a utopian traffic-free future. It’s the sort of book that might leave you daydreaming about a future when cars are cleverer than drivers and all of humanity’s road woes can be neatly fixed by algorithms—just as soon as we get everyone on board, from car manufacturers to the perpetually anxious public.
Download PDF
How to download PDF:
1. Install Google Books Downloader
2. Enter Book ID to the search box and press Enter
3. Click "Download Book" icon and select PDF*
* - note that for yellow books only preview pages are downloaded
