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革新我们前进的方式.pdf

上传人: 明**** 编号:1012159 2025-12-21 13页 2.95MB

1、1Revolutionizing How WeMove ForwardBryan Reimer,Ph.D.|MIT Center for Transportation and Logistics,AgeLabNovember 6,2025 2025 MIT AGELAB|Automation Isnt New But Its Impacts Are Accelerating!ManualAutomaticIncreased DistractionAs automation increases,we expect to see drivers do more things other than

2、driving.2 2025 MIT AGELAB|Autonomy Means Different Things to Different PeopleHands-free driving featuresPersonal self-driving vehiclesOn-demand autonomous fleetsConnected multimodal mobility systemsSafety-first automation standardsA KEY PROBLEMReimer,B.(2018).Why We Need to Define Success In Our Evo

3、lution Toward Self-Driving.Forbes.Reimer,B.(2018).Theres more to the safety of driverless cars than AI.TEDx Waltham.“When it comes to autonomous vehicles,technologists,automakers,politicians and drivers see the world through different lenses.”3 2025 MIT AGELAB|Two Fundamentally Different Approaches

4、to DevelopmentBottom-up development led by traditional OEMs and suppliersTop-down development led by high tech and robotics4 2025 MIT AGELAB|The Road to Scale is Long and WindingEarly pilots prove technical capability,but not commercial viability.Technology limits:Technology limits:Sensing,compute,a

5、nd operational design domains still constrain real-world performanceEconomic pressure:Economic pressure:Backend labor costs,system complexity,and slow ROI challenge scalabilityTrust&safety:Trust&safety:Human-driver benchmarks challenge regulation and risk eroding consumer confidenceSocietal friction

6、:Societal friction:Acceptance,workforce transitions,and ethics questions remain unresolvedFragmented governance:Fragmented governance:A lack of standards and cross-industry alignment slows progressL4 DRIVING IS“HERE”5 2025 MIT AGELAB|What Self-Driving Cars Tell Us About AI Risks5 conclusions from an

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根据报告的内容,全文主要内容概括如下: 1. 自动化发展加速,但影响深远。 2. 自动驾驶定义多样,包括手自一体、个人自动驾驶车辆、按需自动驾驶车队等。 3. 自动驾驶发展面临挑战,如技术限制、经济压力、信任与安全、社会摩擦和治理碎片化。 4. L4级自动驾驶已实现,但AI风险需关注,如编码错误、难以预测的失败模式等。 5. 自动驾驶与AI紧密相连,AI的真正力量在于放大人类能力。 6. 消费者更看重可预测性而非完全自动化。 7. 驾驶员监控作为信任促进者,确保驾驶员保持注意力。 8. 自动化驾驶需平衡风险与收益,确保安全与效率。
安全还是风险?" "AI时代,驾驶体验将如何改变?" "从便利到信任,AI辅助驾驶的未来在哪里?"
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