BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:Europe/Berlin BEGIN:DAYLIGHT DTSTART:20260329T030000 TZOFFSETFROM:+0100 TZOFFSETTO:+0200 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=3 TZNAME:CEST END:DAYLIGHT BEGIN:STANDARD DTSTART:20261025T020000 TZOFFSETFROM:+0200 TZOFFSETTO:+0100 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10 TZNAME:CET END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20260813T223717Z UID:CE9403CB-69BD-445C-8E4F-9E59D10702CC DTSTART;TZID=Europe/Berlin:20260905T100000 DTEND;TZID=Europe/Berlin:20260907T174500 DESCRIPTION:Special Session on Intelligent Mobility & Beyond: "AI-Driven Se nsing\, Autonomy\, and Edge Intelligence from Vehicles to Everyday Life"\n \nChairs:\n\n- Dr.-Ing. Nikolaos Athanasios Anagnostopoulos\, Universität Passau\n- Dr.-Ing. Mayukh Bhattacharyya\, Onsemi\n- Dr. Mohamed Faragalla \, NXP Semiconductors\n- Dr.-Ing. Tolga Arul\, Barkhausen Institute\n\nIn collaboration with the Germany Section Chapters of the IEEE Solid-State Ci rcuits Society (SSCS – [LinkedIn](https://www.linkedin.com/company/ieee- sscs-germany/))\, the IEEE Vehicular Technology Society (VTS – [LinkedIn ](https://www.linkedin.com/company/ieee-vts-germany/))\, and the IEEE Cons umer Technology Society (CTSoc – [LinkedIn](https://www.linkedin.com/com pany/ieee-ctsoc-germany)).\n\nThis special session explores the rapidly ev olving intersection of artificial intelligence and next-generation mobilit y systems\, with a primary focus on automotive technologies and autonomous platforms. As vehicles\, drones\, and intelligent machines become increas ingly autonomous\, advances in AI-driven sensing\, perception\, and decisi on-making are redefining how systems interact with the physical world.\n\n The session highlights cutting-edge developments in signal processing\, ra dar and LiDAR technologies\, sensor fusion\, and edge AI\, enabling robust perception in complex and dynamic environments. Beyond automotive applica tions\, the session extends to emerging domains such as smart homes\, wear able devices\, IoT ecosystems\, and human-centric sensing\, showcasing how innovations in mobility are influencing\, and are being influenced by\, b roader consumer and industrial technologies.\n\nWe welcome contributions t hat push the boundaries of intelligent systems\, including real-time embed ded AI\, energy-efficient edge computing\, quantum-enhanced algorithms\, a nd novel sensing paradigms. This session aims to bring together researcher s and practitioners from academia and industry to discuss transformative i deas shaping the future of autonomous systems and connected intelligent en vironments.\n\nOur Special Session's tagline is: "From self-driving cars t o intelligent living spaces – shaping a seamlessly autonomous future."\n \nPeer Reviewed Technical Paper Submissions\n\nWe invite submissions of or iginal\, unpublished papers addressing topics including\, but not limited to:\n\n- AI for Autonomous Vehicles & Intelligent Mobility\n- End-to-end l earning for autonomous driving\n- Generative AI for simulation and scenari o generation\n- Foundation models for driving intelligence\n- AI safety\, explainability\, and validation in AVs\n- Multi-agent coordination (vehicl e-to-vehicle\, swarm intelligence)\n- Reconfigurable AI & embedded computi ng platforms (inc. FPGA designs) for intelligent transportation\n- Privacy -preserving AI and secure data analytics for intelligent mobility\n\n- Adv anced Sensing and Connectivity: Radar\, LiDAR\, and Beyond\n- AI-enhanced radar perception (4D radar\, imaging radar)\n- LiDAR processing\, compress ion\, and semantic understanding\n- Sensor fusion (camera + radar + LiDAR + ultrasonic)\n- Robust perception under adverse conditions (fog\, rain\, night)\n- Event-based and neuromorphic sensors\n- 5G/6G\, V2X\, and wirele ss connectivity technologies for intelligent mobility\n\n- Signal Processi ng and Multimedia for Intelligent Systems\n- Deep learning for signal inte rpretation and reconstruction\n- Sparse sensing and compressed sensing in mobility\n- Real-time signal processing on embedded platforms\n- Multimoda l data fusion and temporal modeling\n- Edge signal intelligence for low-la tency decisions\n- Audio/Video systems & multimedia signal processing for mobility\n- Immersive in-cabin entertainment & digital experiences\n- Smar t cockpit\, human–machine interaction & personalized mobility experience s\n- Entertainment\, gaming & immersive media for future mobility\n\n- Edg e AI and Embedded Intelligence\n- TinyML and ultra-low-power AI for vehicl es and IoT\n- On-device learning and federated learning\n- Hardware-softwa re co-design for AI acceleration\n- AI on automotive-grade chips and edge processors\n- Real-time inference under strict latency constraints\n- Neur omorphic\, in-memory & edge AI computing for real-time intelligent mobilit y\n- Heterogeneous integration & chiplet architectures for AI in intellige nt mobility\n\n- Drones\, Robotics\, and Autonomous Systems\n- AI for UAV navigation and obstacle avoidance\n- Swarm intelligence for drones and rob otic fleets\n- Autonomous delivery and aerial sensing systems\n- Cross-dom ain autonomy (air\, land\, sea vehicles)\n- Simulation-to-real transfer fo r robotics\n- Sustainable\, energy-efficient & green consumer electronics for mobility\n\n- AI for Smart Homes\, Consumer IoT\, and Connected Mobili ty Ecosystems\n- Context-aware intelligence in smart environments\n- AI-po wered home automation and predictive systems\n- Edge AI for privacy-preser ving IoT applications\n- Sensor networks for ambient intelligence\n- Inter operability and intelligent orchestration of devices\n- AI-driven consumer mobility services & data analytics\n- Smart infrastructure & cooperative intelligent transportation systems\n- Power electronics\, battery manageme nt & EV charging technologies\n- Intelligent transportation systems (ITS) and smart mobility ecosystems\n\n- Wearables\, Human-Centric AI\, and Sens ing\n- AI for health monitoring and biometric sensing\n- Smart wearables i ntegrated with mobility ecosystems\n- Human-in-the-loop AI systems\n- Brai n-computer interfaces and implantable devices\n- Personalized AI assistant s through multimodal sensing\n- Wearables\, XR & personal consumer devices for intelligent mobility\n- Smartphone integration & cross-device mobilit y experiences\n\n- Emerging & Disruptive Technologies\n- Quantum computing for AI and optimization in mobility\n- Digital twins for vehicles and sma rt environments\n- AI for sustainable and energy-efficient mobility\n- Cyb ersecurity in autonomous and connected systems\n- Ethical\, regulatory\, a nd societal implications of AI systems\n- Cloud-native mobility platforms\ , mobility-as-a-service (MaaS)\, and edge intelligence\n- AI-enabled autom otive SoC & ASIC design\n- Functional safety and reliable AI for autonomou s mobility\n- Hardware security and trusted AI for connected mobility\n\nC o-sponsored by: IEEE CTSoC\n\nAgenda: \nImportant Dates\n\nPaper Submissio n\n15 July 2026\, 23:59 AoE\n\nAcceptance Notification\n31 July 2026\n\nCa mera-Ready Submission\n14 August 2026\, 23:59 AoE\n\nHilton Berlin Anton-W ilhelm-Amo-Strasse 30 \, Berlin\, Berlin\, Germany\, 10117 LOCATION:Hilton Berlin Anton-Wilhelm-Amo-Strasse 30 \, Berlin\, Berlin\, Ge rmany\, 10117 ORGANIZER:mbhattac@gmx.de SEQUENCE:22 SUMMARY:ICCE Berlin 2026 15th IEEE International Conference on Consumer Ele ctronics 5–7 September 2026 // Berlin\, Germany URL;VALUE=URI:https://events.vtools.ieee.org/m/572541 X-ALT-DESC:Description: <br /><div class="view view-news-and-announcements view-id-news_and_announcements view-display-id-block_1 view-dom-id-cafccf7 ce08c3e57026c5e47ce035747">\n<div class="view-content">\n<div class="views -row views-row-1 views-row-odd views-row-first views-row-last">\n<div clas s="views-field views-field-body">\n<div class="field-content">\n<h1><stron g>Special Session on Intelligent Mobility &amp\; Beyond: "AI-Driven Sensin g\, Autonomy\, and Edge Intelligence from Vehicles to Everyday Life"</stro ng></h1>\n<h3>Chairs:</h3>\n<ul>\n<li>Dr.-Ing. Nikolaos Athanasios Anagnos topoulos\, Universit&auml\;t Passau</li>\n<li>Dr.-Ing. Mayukh Bhattacharyy a\, Onsemi</li>\n<li>Dr. Mohamed Faragalla\, NXP Semiconductors</li>\n<li> Dr.-Ing. Tolga Arul\, Barkhausen Institute</li>\n</ul>\n<br>\n<p><strong>I n collaboration with the Germany Section Chapters of the IEEE Solid-State Circuits Society (SSCS &ndash\; <a href="https://www.linkedin.com/company/ ieee-sscs-germany/">LinkedIn</a>)\, the IEEE Vehicular Technology Society (VTS &ndash\; <a href="https://www.linkedin.com/company/ieee-vts-germany/" >LinkedIn</a>)\, and the IEEE Consumer Technology Society (CTSoc &ndash\; <a href="https://www.linkedin.com/company/ieee-ctsoc-germany">LinkedIn</a> ).</strong></p>\n<p>This special session explores the rapidly evolving int ersection of artificial intelligence and next-generation mobility systems\ , with a primary focus on automotive technologies and autonomous platforms . As vehicles\, drones\, and intelligent machines become increasingly auto nomous\, advances in AI-driven sensing\, perception\, and decision-making are redefining how systems interact with the physical world.</p>\n<p>The s ession highlights cutting-edge developments in signal processing\, radar a nd LiDAR technologies\, sensor fusion\, and edge AI\, enabling robust perc eption in complex and dynamic environments. Beyond automotive applications \, the session extends to emerging domains such as smart homes\, wearable devices\, IoT ecosystems\, and human-centric sensing\, showcasing how inno vations in mobility are influencing\, and are being influenced by\, broade r consumer and industrial technologies.</p>\n<p>We welcome contributions t hat push the boundaries of intelligent systems\, including real-time embed ded AI\, energy-efficient edge computing\, quantum-enhanced algorithms\, a nd novel sensing paradigms. This session aims to bring together researcher s and practitioners from academia and industry to discuss transformative i deas shaping the future of autonomous systems and connected intelligent en vironments.</p>\n<p>Our Special Session's tagline is: <strong>"From self-d riving cars to intelligent living spaces &ndash\; shaping a seamlessly aut onomous future."</strong></p>\n<br>\n<h1><strong>Peer Reviewed Technical P aper Submissions</strong></h1>\n<p><strong>We invite submissions of origin al\, unpublished papers addressing topics including\, but not limited to:< /strong></p>\n<ul>\n<li><strong>AI for Autonomous Vehicles &amp\; Intellig ent Mobility</strong>\n<ul>\n<li>End-to-end learning for autonomous drivin g</li>\n<li>Generative AI for simulation and scenario generation</li>\n<li >Foundation models for driving intelligence</li>\n<li>AI safety\, explaina bility\, and validation in AVs</li>\n<li>Multi-agent coordination (vehicle -to-vehicle\, swarm intelligence)</li>\n<li>Reconfigurable AI &amp\; embed ded computing platforms (inc. FPGA designs) for intelligent transportation </li>\n<li>Privacy-preserving AI and secure data analytics for intelligent mobility</li>\n</ul>\n</li>\n<li><strong>Advanced Sensing and Connectivit y: Radar\, LiDAR\, and Beyond</strong>\n<ul>\n<li>AI-enhanced radar percep tion (4D radar\, imaging radar)</li>\n<li>LiDAR processing\, compression\, and semantic understanding</li>\n<li>Sensor fusion (camera + radar + LiDA R + ultrasonic)</li>\n<li>Robust perception under adverse conditions (fog\ , rain\, night)</li>\n<li>Event-based and neuromorphic sensors</li>\n<li>5 G/6G\, V2X\, and wireless connectivity technologies for intelligent mobili ty</li>\n</ul>\n</li>\n<li><strong>Signal Processing and Multimedia for In telligent Systems</strong>\n<ul>\n<li>Deep learning for signal interpretat ion and reconstruction</li>\n<li>Sparse sensing and compressed sensing in mobility</li>\n<li>Real-time signal processing on embedded platforms</li>\ n<li>Multimodal data fusion and temporal modeling</li>\n<li>Edge signal in telligence for low-latency decisions</li>\n<li>Audio/Video systems &amp\; multimedia signal processing for mobility</li>\n<li>Immersive in-cabin ent ertainment &amp\; digital experiences</li>\n<li>Smart cockpit\, human&ndas h\;machine interaction &amp\; personalized mobility experiences</li>\n<li> Entertainment\, gaming &amp\; immersive media for future mobility</li>\n</ ul>\n</li>\n<li><strong>Edge AI and Embedded Intelligence</strong>\n<ul>\n <li>TinyML and ultra-low-power AI for vehicles and IoT</li>\n<li>On-device learning and federated learning</li>\n<li>Hardware-software co-design for AI acceleration</li>\n<li>AI on automotive-grade chips and edge processor s</li>\n<li>Real-time inference under strict latency constraints</li>\n<li >Neuromorphic\, in-memory &amp\; edge AI computing for real-time intellige nt mobility</li>\n<li>Heterogeneous integration &amp\; chiplet architectur es for AI in intelligent mobility</li>\n</ul>\n</li>\n<li><strong>Drones\, Robotics\, and Autonomous Systems</strong>\n<ul>\n<li>AI for UAV navigati on and obstacle avoidance</li>\n<li>Swarm intelligence for drones and robo tic fleets</li>\n<li>Autonomous delivery and aerial sensing systems</li>\n <li>Cross-domain autonomy (air\, land\, sea vehicles)</li>\n<li>Simulation -to-real transfer for robotics</li>\n<li>Sustainable\, energy-efficient &a mp\; green consumer electronics for mobility</li>\n</ul>\n</li>\n<li><stro ng>AI for Smart Homes\, Consumer IoT\, and Connected Mobility Ecosystems</ strong>\n<ul>\n<li>Context-aware intelligence in smart environments</li>\n <li>AI-powered home automation and predictive systems</li>\n<li>Edge AI fo r privacy-preserving IoT applications</li>\n<li>Sensor networks for ambien t intelligence</li>\n<li>Interoperability and intelligent orchestration of devices</li>\n<li>AI-driven consumer mobility services &amp\; data analyt ics</li>\n<li>Smart infrastructure &amp\; cooperative intelligent transpor tation systems</li>\n<li>Power electronics\, battery management &amp\; EV charging technologies</li>\n<li>Intelligent transportation systems (ITS) a nd smart mobility ecosystems</li>\n</ul>\n</li>\n<li><strong>Wearables\, H uman-Centric AI\, and Sensing</strong>\n<ul>\n<li>AI for health monitoring and biometric sensing</li>\n<li>Smart wearables integrated with mobility ecosystems</li>\n<li>Human-in-the-loop AI systems</li>\n<li>Brain-computer interfaces and implantable devices</li>\n<li>Personalized AI assistants t hrough multimodal sensing</li>\n<li>Wearables\, XR &amp\; personal consume r devices for intelligent mobility</li>\n<li>Smartphone integration &amp\; cross-device mobility experiences</li>\n</ul>\n</li>\n<li><strong>Emergin g &amp\; Disruptive Technologies</strong>\n<ul>\n<li>Quantum computing for AI and optimization in mobility</li>\n<li>Digital twins for vehicles and smart environments</li>\n<li>AI for sustainable and energy-efficient mobil ity</li>\n<li>Cybersecurity in autonomous and connected systems</li>\n<li> Ethical\, regulatory\, and societal implications of AI systems</li>\n<li>C loud-native mobility platforms\, mobility-as-a-service (MaaS)\, and edge i ntelligence</li>\n<li>AI-enabled automotive SoC &amp\; ASIC design</li>\n< li>Functional safety and reliable AI for autonomous mobility</li>\n<li>Har dware security and trusted AI for connected mobility</li>\n</ul>\n</li>\n< /ul>\n<p>&nbsp\;</p>\n</div>\n</div>\n</div>\n</div>\n</div><br /><br />Ag enda: <br /><h2 class="block-title">Important Dates</h2>\n<p><span class=" datedescr">Paper Submission</span><br><span class="datedate">15 July 2026\ , 23:59 AoE</span></p>\n<p><span class="datedescr">Acceptance Notification </span><br><span class="datedate">31 July 2026</span></p>\n<p><span class= "datedescr">Camera-Ready Submission</span><br><span class="datedate">14 Au gust 2026\, 23:59 AoE</span></p> END:VEVENT END:VCALENDAR