A comprehensive list of related content on autonomous vehicles, ranging from battery technology and sensors to reinforcement learning.
NOTE: This list will be updated continuosly. If there are specific resources or source code that you would like me to add, please let me know!
- What are the statistics?
- Battery technology
- UX/UI Design
- Sensors
- Lidar
- Cameras
- Radar
- Sonar
- Inertial measurement units (IMU)
- AI algorithms
- Computer vision
- Reinforcement learning
- Companies
- Autonomy
- Automation system
- Mapping, simulation, image recognition
- Autonomous vehicle maker + tools
- Infrastructure + connected car
- Batteries
- Autonomy
So what drove Cruise, Waymo, Zoox, and other auto industries to integrate self-driving capabilities in a vehicle? The answer is simple: To make driving safe for everyone; reduce the number of car accidents and traffic time; and reduce carbon emissions. Here are the statistics:
- Critical Reasons for Crashes Investigated in the National Motor Vehicle Crash Causation Survey
- SELF-DRIVING CARS: THE IMPACT ON PEOPLE WITH DISABILITIES
- Here's How Much Time Americans Waste in Traffic
- Fatality Facts 2019
- Overview of Motor Vehicle Crashes in 2019
- Distracted Driving
To make electric vehicles (EV) be in competition with combusition-based vehicles, an EV will need an energy storage that can provide fast charge time, high cycle life, safety, and a high operating temperature. While liquid lithium batteries have been the baseline for powering most devices, researchers have developed a better solution to address the issues above: solid-state batteries. I curated a list of articles that explain solid-state batteries, how lithium ion batteries are simulated and model, and the standards for testing lithium-ion batteries.
- What is a Solid-state Battery?
- Solid-state Battery Landscape
- Designing better batteries for electric vehicles
- Machine learning for continuous innovation in battery technologies
- Real-time state-of-health estimation for electric vehicle batteries: A data-driven approach
While sensors, battery technology, and AI have made vehicles achieve self-driving, another component that shouldn't be overlooked is the UX/UI design. While the technology is there, the vehicle must be able to convey to the passenger that it can be trusted. During the development, it is important that developers have a user-centered design approach - an iterative design process where designers focus on the users and their needs in each phase of the design process. Below is a list of articles and books that emphasize the UI/UX design in the auto industry.
- Tesla’s Touchscreen UI: A Case Study of Car-Dashboard User Interface
- Human Factors Design Guidance For Driver-Vehicle Interfaces
- WHY AUTOMOTIVE LEADERS CANNOT IGNORE THE CASE MEGATREND
- 5 trends shaping the auto industry’s approach to a new normal
- The Top Ten Automotive User Experiences Of The Last Decade