Highlights of the Program
2 days business program:
Learn from real-world case studies by industry leaders.
SHOWCASING INNOVATION:
Discover the latest technology and techniques from across the industry.
leaders talk:
Hear from top-level experts about how to stay ahead in a fast-changing industry.
MULTIPLE STREAMS:
A business program that is multi-disciplinary, giving you a broad view of the industry.
SMART TECHNOLOGIES:
Explore the latest smart and AI-driven solutions, and see how they can be used in your business.
roundtable discussion:
Join talks with industry peers. Share ideas, make connections, and find new partners.
Program
Day 1 :
WEDNESDAY, AUGUST 26, 2026
08:00 - 08:50
REGISTRATION & MORNING REFRESHMENTS
08:50 - 09:00
OPENING ADDRESS
09:00 - 09:25
CONTENT-AWARE PLATFORMS FOR SCALABLE AV DEVELOPMENT


Christopher Maestas
IBM
- Leveraging AI data infrastructures to accelerate AV software development cycles
- Integrating sensors, maps, telematics, and navigation into unified AI pipelines
- Addressing data integrity, analysis, and collaboration in data-driven AV systems
09:25 - 09:30
Q&A SESSION ON BUILDING DATA PLATFORMS FOR AUTONOMOUS DRIVING
09:30 - 09:55
INSURANCE COVERAGE GAPS IN THE AUTONOMOUS VEHICLE INDUSTRY


Carlton Wilde III
Bracewell LLP
- Identifying gaps across liability and cyber policies exposing AV stakeholders
- Examining exclusions tied to cyber incidents causing physical and data loss
- Evaluating regulatory fragmentation and insurer strategies impacting claims
09:55 - 10:00
Q&A SESSION ON NAVIGATING INSURANCE RISKS IN AUTONOMOUS SYSTEMS
10:00 - 10:25
AV REGULATION IN 2026 - POLICY SIGNALS AND A LONG-TERM PATH


Adam Raviv
Sidley Austin LLP
- Summarizing US AV rules across federal, state, and local levels, including key bills
- Assessing how 2026 regulatory signals shape AV tech deployment and global strategy
- Proposing a long-term AV governance framework drawn from forthcoming law review research
10:25 - 10:30
Q&A SESSION ON WHAT THE 2026 POLICY MEANS FOR AV DEPLOYMENT
10:30 - 11:00
MORNING COFFEE BREAK IN EXHIBITION AREA
11:00 - 11:30
PANEL DISCUSSION ON MAPPING THE FUTURE OF URBAN MOBILITY WITH AUTONOMOUS VEHICLES
11:30 - 11:55
CONTEXT-AWARE MULTI-MODAL FUSION FOR PEDESTRIAN DETECTION


Arunachalam Venkatachalam
imec
- Enhancing pedestrian detection under fog and low-light conditions via adaptive fusion
- Applying gating networks to modulate detector outputs without retraining
- Achieving improved precision with probabilistic calibration on KITTI data
11:55 - 12:00
Q&A SESSION ON IMPROVING PEDESTRIAN DETECTION WITH FUSION
12:00 - 12:25
SOFTWARE SAFETY ASSURANCE FOR AUTONOMOUS VEHICLES


Selvam Raju Somalraju
Zoox
- Adapting automotive and aerospace standards to build a systematic safety assurance framework for AV software
- Translating binary safety compliance into numerically graded assurance metrics for AV software certification
- Calibrating quantitative thresholds to produce measurable safety certification outcomes for AV software
12:25 - 12:30
Q&A SESSION ON QUANTIFYING SAFETY ASSURANCE IN AV SOFTWARE DEVELOPMENT
12:30 - 13:30
NETWORKING LUNCH AND VISITING THE AUTONOMOUS VEHICLES & AI EXHIBITION
13:30 - 14:00
PANEL DISCUSSION ON ENSURING SAFETY STANDARDS IN AUTONOMOUS VEHICLE DESIGN AND TESTING
14:00 - 14:25
OPERATIONALIZING LEVEL-4 AUTOMATED PUBLIC TRANSIT AT SCALE
14:25 - 14:30
Q&A SESSION ON SCALING LEVEL-4 FOR PUBLIC TRANSIT
14:30 - 14:55
THE CAR THAT THINKS AT THE EDGE AND LEARNS IN THE CLOUD


Simon Wigfield
Western Digital
- Enabling real-time AV decisions at the edge with millisecond data processing
- Leveraging cloud pipelines for large-scale simulation and model retraining
- Connecting edge-to-cloud architectures for continuous AV learning cycles
14:55 - 15:00
Q&A SESSION ON EDGE-TO-CLOUD DATA ARCHITECTURES FOR AVS
15:00 - 15:20
AFTERNOON COFFEE BREAK IN EXHIBITION AREA
15:20 - 15:45
THE FAST LANE TO L4–L5 - DATA-CENTRIC ARCHITECTURES


Thomas Bloor
Real-Time Innovations (RTI)
- Supporting AV systems through reliable streaming data from perception to action
- Designing vehicles around data flow for scalable and flexible architectures
- Introducing data-centric frameworks for high-performance autonomous systems
15:45 - 15:50
Q&A SESSION ON HOW DATA CENTRICITY ACCELERATES AV DEPLOYMENT
15:50 - 16:15
PHYSICAL AI FOR ROBUST ALL-WEATHER AV SAFETY


Matthew Carey
Teradar
- Addressing perception failures from degraded sensors in adverse environments
- Introducing terahertz sensing for physics-grounded hazard detection and clarity
- Demonstrating integration into AV stacks to improve confidence and safety
16:15 - 16:20
Q&A SESSION ON WHETHER PHYSICAL AI CAN SOLVE AV PERCEPTION LIMITATIONS
16:20 - 16:45
EMERGING TECHNOLOGIES SHAPING CONNECTED AND AUTOMATED VEHICLES
16:45 - 16:50
Q&A SESSION ON WHAT TECHNOLOGIES WILL DEFINE NEXT-GENERATION AVS
16:50 - 17:15
FROM DRIVER-CENTRIC TO PASSENGER-CENTRIC AV UX DESIGN


Neha Heera
Toast
- Transitioning UX from driver control to passenger-centric autonomy experiences
- Redesigning interfaces to build trust, safety awareness, and user confidence
- Utilizing SDV architectures to enable adaptive in-cabin interaction models
17:15 - 17:20
Q&A SESSION ON HOW UX WILL SHAPE PASSENGER TRUST IN AVS
17:20 - 18:20
NETWORKING DRINKS RECEPTION
Day 2 :
THURSDAY, AUGUST 27, 2026
08:00 - 08:30
MORNING REFRESHMENTS
08:30 - 08:40
OPENING ADDRESS
08:40 - 09:05
AUTONOMY IS NOT ABOUT CARS — IT'S ABOUT REWRITING MOBILITY


Praveen Cherian
Capgemini
- Charting where autonomy is genuinely scaling today across freight, transit, and urban mobility systems
- Decoding how humans build trust in AV systems and what behavioral shifts enable real-world coexistence
- Forecasting how fleet mobility, autonomous logistics, and ownership models will transform by 2030-2050
09:05 - 09:10
Q&A SESSION ON HOW AUTONOMY IS REDEFINING MOBILITY AND OWNERSHIP
09:10 - 09:35
PERCEPTION INTEGRITY CONTRACTS FOR RUNTIME-TRUSTWORTHY AUTONOMOUS VEHICLES


Mohamed El Hadedy
California State Polytechnic University, Pomona
- Diagnosing how perception systems degrade under runtime interference even when system-health metrics appear normal
- Quantifying timing, output stability, and context freshness over fixed windows via a structured PIC framework
- Safeguarding AV deployments through hash-chained, externally verifiable perception windows for auditability and failover resilience
09:35 - 09:40
Q&A SESSION ON RUNTIME PERCEPTION INTEGRITY FOR TRUSTED AVS
09:40 - 10:05
AUTONOMY AND THE FUTURE OF PERSONAL CAR OWNERSHIP


Blair Schlecter
Beverly Hills Chamber of Commerce
- Examining robotaxis and autonomous transit as alternatives to car ownership
- Evaluating impacts on vehicle miles traveled, parking demand, and urban infrastructure
- Identifying consumer barriers that could slow large-scale AV mobility adoption
10:05 - 10:10
Q&A SESSION ON CAN AUTONOMOUS MOBILITY REDUCE CAR OWNERSHIP?
10:10 - 10:30
MORNING COFFEE BREAK IN EXHIBITION AREA
10:30 - 11:00
PANEL DISCUSSION ON NAVIGATING REGULATORY CHALLENGES FOR AUTONOMOUS VEHICLE DEPLOYMENT
11:00 - 11:25
FINANCING AND OPERATING AUTONOMOUS MOBILITY AT SCALE


Paula Bejarano
BENTELER Mobility
- Aligning MaaS models with AV technology to enable scalable real-world deployments
- Consolidating fleet ops, demand response, and data platforms for efficiency
- Combining financing and operations to unlock sustainable AV business models
11:25 - 11:30
Q&A SESSION ON HOW MAAS MODELS ENABLE SCALABLE AV DEPLOYMENT
11:30 - 11:55
DESIGNING AI TRAFFIC MANAGEMENT AGENTS FOR AV ECOSYSTEMS


Ravindra Kondagunta
Connected Signals
- Facilitating smart mobility through AI-driven traffic coordination agents
- Establishing real-time V2I connectivity to support adaptive control loops
- Bridging mobility and infrastructure sectors through software-first integration
11:55 - 12:00
Q&A SESSION ON AI TRAFFIC AGENTS FOR SMART CITIES
12:00 - 12:25
MODERN CONTROL THEORY VS. MACHINE LEARNING ALGORITHMS IN AUTONOMOUS DRIVING


Natalia Estefanía Jurado Espín
Latent AI
- Validating MPC and LQR for safety certification and mathematical guarantees in regulated AV deployment
- Decoding where deep learning and reinforcement learning outperform classical methods in complex AV scenarios
- Synthesizing classical control stability with ML adaptability for a robust and certifiable hybrid AV system
12:25 - 12:30
Q&A SESSION ON THE HYBRID CASE FOR AUTONOMOUS VEHICLE CONTROL
12:30 - 13:30
NETWORKING LUNCH AND VISITING THE AUTONOMOUS VEHICLES & AI EXHIBITION
13:30 - 13:55
FROM SKY TO STREET - POWERING AUTONOMOUS MAPPING


Kris Wagner
Vexcel Imaging
- Extending perception beyond line-of-sight using aerial imagery and DSM
- Building and validating HD maps with consistent large-scale coverage
- Applying AI to extract road, elevation, and infrastructure insights
13:55 - 14:00
Q&A SESSION ON HOW AERIAL DATA ENHANCES AV MAPPING
14:00 - 14:25
AI-AUGMENTED EMBEDDED DEVELOPMENT - THE MISSING LINK IN SDV DELIVERY


Aki Asahara
Fixstars Solutions
- Overcoming legacy C/C++ and real-time constraints that prevent off-the-shelf AI tools from working in AV software
- Validating AI-augmented embedded development on Renesas R-Car GENESIS across production AV programs
- Unlocking proprietary-safe LLM acceleration to close the gap between AI capabilities and production code
14:25 - 14:30
Q&A SESSION ON CLOSING THE AI GAP IN AV EMBEDDED SOFTWARE DELIVERY
14:30 - 15:00
RESERVED PRESENTATION
15:00 - 15:15
FEEDBACK AND RAFFLE DRAW
15:15 - 15:30
CLOSING REMARKS
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