The Role of Conventions in Adaptive Human-AI Interaction
Explores partner modeling in multi-agent coordination, focusing on representation learning, conventions, and strategies for reducing non-stationarity in decentralized systems.
Next-Generation Deep-Learning Accelerators: From Hardware to System - tinyML Summit 2022
Explore next-gen deep learning accelerators, focusing on system-level challenges and opportunities in design, integration, and scheduling for future AI hardware advancements.
Driving with Attention
Explore innovative sensor fusion techniques for autonomous driving, focusing on TransFuser and NEAT models that leverage attention mechanisms to improve perception and decision-making in complex traffic scenarios.
Learning Robust Driving Policies
Explore robust driving policies for autonomous vehicles, covering situational reasoning strategies and addressing covariate shift in imitation learning to improve generalization and safety in diverse conditions.
Label Efficient Visual Abstractions for Autonomous Driving
Explore efficient visual abstractions for autonomous driving, analyzing segmentation-based modalities and their impact on driving performance in CARLA simulator. Gain insights on label-efficient approaches.
Imaging Radars - Learning for Enhanced Vision in Modern Radar Systems
Explore imaging radars and machine learning for enhanced object classification in traffic enforcement and autonomous driving applications using millimeter-wave technology.
Latest AI News Roundup: From AGI Stages to Multimodal Models
Explore cutting-edge AI developments: AGI stages, medical applications, multimodal models, autonomous driving, and more. Stay informed about the latest advancements in artificial intelligence across various domains.
Language and Video-Generative AI in Autonomous Driving - Guest Lecture by Wayve
Explore Wayve's innovative approach to autonomous driving, featuring language and video-generative AI advancements. Learn about GAIA-1 and LINGO technologies, and their applications in self-driving vehicles.
VILAM: Infrastructure-assisted 3D Visual Localization and Mapping for Autonomous Driving
Innovative framework leveraging roadside infrastructure for high-precision localization and mapping in autonomous vehicles, achieving decimeter-level accuracy with consumer-grade cameras across diverse scenarios.
Toward Total Scene Understanding for Autonomous Driving
Explore cutting-edge machine learning techniques for autonomous driving, including perception, behavior prediction, and planning. Learn about Waymo's research on ML models for real-world environments and AI's impact on accessibility.
Toward Total Scene Understanding for Autonomous Driving
Explore cutting-edge machine learning techniques for autonomous vehicles, covering perception, prediction, planning, and simulation. Learn about Waymo's research on enhancing AI capabilities for real-world environments.
Toward Total Scene Understanding for Autonomous Driving
Exploring machine learning advancements in autonomous driving, focusing on perception, prediction, and planning. Discusses impact on accessibility and future AI agent capabilities.
Knowledge-infused Learning for Autonomous Driving (KL4AD)
Explore knowledge-infused learning techniques for autonomous driving, focusing on neuro-symbolic AI and its potential to enhance interpretability, explainability, and robustness in real-world applications.
Autonomous Driving: Technology, Benefits, and Challenges
Explore self-driving car technology, including autonomy levels, sensors, AI systems, and their impact on transportation. Gain insights into cutting-edge research projects in autonomous driving.
How to Work in the Car of the Future - A Neuroergonomical Study Assessing Concentration, Performance and Workload Based on Subjective, Behavioral and Neurophysiological Insights
Neuroergonomical study explores optimal car interior configurations for productive work during autonomous driving, assessing concentration, performance, and workload using subjective, behavioral, and EEG measures.
Under Pressure: Real World Damage With TPMS Spoofing - DefCamp - 2019
Explore TPMS spoofing techniques, real-world implications, and mitigation strategies in this DefCamp 2019 talk on vehicle security vulnerabilities and their potential impact on autonomous driving.
AI and Machine Learning - Managing the Risks of Major Lawsuits
Explore legal risks and mitigation strategies for AI and machine learning applications, covering liability issues, algorithmic biases, and emerging challenges in autonomous systems and healthcare.
Security of Multi-Sensor Fusion Based Perception in Autonomous Driving Under Physical-World Attacks
Explore vulnerabilities in autonomous driving perception systems and learn about physical-world attacks on multi-sensor fusion, enhancing your understanding of automotive cybersecurity.
Autonomous Driving and Handling the Handover
Experts discuss strategies for transitioning to driverless cars, exploring challenges and opportunities in autonomous vehicle technology and implementation.
Racing Robocars
Explore DIY robocars: affordable, safe indoor autonomous vehicles using advanced sensors and AI. Learn about global races, technological breakthroughs, and the future of self-driving innovation.
Challenges of Autonomous Driving
Explore the complexities and obstacles in developing self-driving vehicles, from technical hurdles to ethical considerations, in this insightful conference talk on autonomous driving technology.