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Systems must orchestrate highly complex driving behaviors and have a fail-operational architecture that protects against technical failure and covers system malfunction. In addition, the per-unit costs need to be further reduced.\nA new legal (end insurance) framework is required before any autonomous trucks can drive on public roads. Today, autonomous driving is prohibited by law. 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Today, the two largest factors in truck total cost of ownership are fuel and driver costs. Functions that are available today, such as adaptive cruise control (ACC), already enable fuel savings. In the future, vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communication will greatly increase savings potential. The second-largest cost factor, the driver, will still need to be in the cabin – at least for the next decade. 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Today, over 90% of all motor vehicle accidents are caused by human error and were responsible for 26,000 deaths in 2013 in Europe alone. The potential of automated driving in avoiding or mitigating accidents is huge. The European Commission has therefore mandated that from 2015 onward all newly registered trucks must be equipped with lane departure warning systems (LDWS) and from 2018 onward with advanced emergency braking systems (AEBS).", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:29:33.768+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "57931a57-f775-4bd2-99b4-5182f53dacf2", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.8, "x": 0.1, "y": 0.18 }, "kind": "paragraph", "text": "Four megatrends will shape and transform the truck industry in the period through 2025 to make it EFFICIENT, GREEN, CONNECTED and SAFE. The importance of SAFE is set to rise in the coming years. Efforts to increase truck safety were strongly focused on reducing the impact of truck-related accidents in the past. Advanced driver assistance systems (ADAS) now offer the opportunity to achieve accident-free transportation.", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:29:33.768+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "6174f8ac-5356-4b7d-bd96-20abfd11e52d", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.8, "x": 0.1, "y": 0.78 }, "kind": "paragraph", "text": "The trend toward autonomous driving requires action from both OEMs and suppliers. Roles and responsibilities will be strongly influenced by the stage of automation. For OEMs, the main task now is to prepare technologically for automated trucks by further developing ADAS understanding on the vehicle and system level in-house. 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MARKET DRIVERS FOR ADAS IN THE TRUCK INDUSTRY .................................................... 4\nB. SOFTWARE AND LEGAL CHALLENGES PRESENT THE GREATEST HURDLES 5\nC. 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These functions might be developed by the OEMs or by specialized engineering service providers or suppliers\nIn a stage of limited self-driving automation, OEMs need to orchestrate component supplier activities as single ADAS functions converge to enable comprehensive trajectory planning and decision making functionality\nIn full self-driving automation, the end-game scenario, this \"brain\" module might be rather standardized and configurable through parameters and models based on the physics of the underlying vehicle. 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Today, autonomous driving is prohibited by law as the driver needs to be in full control at any given time. Key questions to be addressed by a revised legal framework are liability (OEMs, suppliers, drivers) and criteria that can be used to determine if the vehicle meets required safety standards.", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:29:34.33+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "027fa440-2c24-424d-9a89-923c962e7459", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.8, "x": 0.1, "y": 0.53 }, "kind": "paragraph", "text": "The trend toward autonomous driving requires action from both OEMs and suppliers. While roles and responsibilities will be strongly influenced by the stage of automation, the definition of the system architecture and system integration will remain the domain of OEMs across stages. Overall, we anticipate a stronger decomposition of the value chain, with specialists dominating specific 'functional clusters' that require specific competencies.", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:29:34.33+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "a3261715-187d-4752-beba-56a8ffe5a185", "parentComponentId": null }, { "bbox": { "h": 0.2, "w": 0.8, "x": 0.1, "y": 0.12 }, "kind": "paragraph", "text": "Overall sensor data fusion, spatial recognition, trajectory planning and control and decision making will almost certainly be realized through centralized system architecture. To process around 300 GB of data per hour, to integrate the truck with the cloud, and to implement stricter security mechanisms, the in-vehicle network will switch to IP-based communication. The key requirements of these architectures are safety and security. Systems must have a fail-operational architecture that can still function in the event of minor errors and has a safe mode in case of serious technical failure. 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