ADAS & AUTONOMY
Solving tomorrow's ADAS challenges today
AutoTech tackles the most critical ADAS challenges by uniting engineering experts, product strategists, and industry leaders to solve the fundamental obstacles blocking next-generation intelligent driving systems. Through collaborative innovation, we're accelerating the breakthrough solutions that will transform how vehicles perceive, decide, and act – ultimately defining the future of safe, autonomous transportation.
Tap into AutoTech's ADAS & Autonomy track to discover solutions for advancing V2X standardization, fostering consumer trust and driving innovation in AI and sensor technologies.
Strategy professionals can network with industry leaders and technology providers to explore partnerships on next-generation V2X protocols and scalable robotaxi ecosystems, while technical professionals gain practical insights on integrating AI into driver engagement systems, optimizing sensor technology choices, and leveraging data infrastructure for safety and scalability.
The exhibition showcases groundbreaking connected vehicle technologies that enable both strategic alignment with emerging trends and collaborative development of innovative, safe ADAS solutions.
Spotlight Sessions
Leveraging Vehicle Data Infrastructure to Accelerate ADAS
- How can the industry standardize vehicle data to ensure seamless integration and advance ADAS performance?
- In what ways can we ensure transparency and build consumer trust in the use of vehicle data for ADAS development?
- Which sensor strategy enables the highest-value real-time data collection and processing?
- What data should governments and first responders have access to, and how can this data be used to improve road safety and ADAS performance?
Sensor Suite Selection: Navigating the Critical Sensor Technology Decisions
- Camera-only vs. multi-sensor fusion: what does real-world data tell us about the performance and limitations of camera-only systems compared to multi-sensor fusion in dynamic driving environments?
- Which sensor path is most cost-effective and how can all sensor platforms be leveraged to maximize ROI?
- How can suppliers validate sensor performance and differentiate themselves in a crowded market?
- Which sensing serves best for supporting AI- and machine learning-driven ADAS capabilities?