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Learn how road design can facilitate data collection and sharing for autonomous vehicles (AVs), and what benefits and challenges they may entail.
Learn how to choose the best map representation for your autonomous vehicle system based on different types of maps and their pros and cons.
Learn how to use data augmentation techniques to improve the performance and robustness of autonomous vehicles in snowy weather and road conditions.
Learn about the challenges and opportunities of integrating autonomous vehicles with existing road infrastructure, and the roles of different stakeholders.
This article explores some key aspects of AV governance and how different stakeholders can work together to ensure safety and innovation for autonomous vehicles.
Explore the potential impacts of autonomous vehicles on various aspects of urban planning and design, such as traffic, parking, form, equity, data, and governance.
Learn how driverless car policy and governance can address data privacy and security risks and trade-offs for autonomous vehicles.
Learn how to inform, address, involve, inspire, educate, and evaluate the public on autonomous vehicles (AVs) through various media and communication channels.
Learn how autonomous vehicles (AVs) leverage artificial intelligence (AI) and the internet of things (IoT) to improve their capabilities and benefits.
Learn how AV systems can use human feedback and behavior to improve their adaptability, sociability, awareness, usability, collaboration, and symbiosis.
Explore the main challenges and opportunities for autonomous vehicles (AVs) in developing countries, and how they can enhance transportation and development.
Explore the potential benefits and challenges of AVs for safety and security, such as human error reduction, cybersecurity protection, privacy preservation, legal…
Learn about some possible ways to tackle the complex and evolving issue of AVs' impacts on communities and ecosystems.
Learn about lidar, camera, radar, SLAM, and deep learning options for 3D mapping and localization of self-driving cars.
Learn about the key factors and strategies that affect the performance and resilience of AVs in hot and cold environments.
Learn how to balance the needs of AVs, human drivers, and other road users in road network design and planning for future mobility.
Learn about the best methods to model and quantify the risks of autonomous vehicles in different scenarios, such as traffic, weather, or ethics.
Learn about the key aspects and challenges of evaluating and testing navigation and path planning performance and safety for autonomous vehicles.
Learn about the challenges and opportunities for AVs in urban planning and design. Find out how to prepare for and leverage the potential of AVs in your city.
Learn how to handle uncertainty and complexity in simulating and modeling multiple agents for developing and testing autonomous vehicles.