Lockton and Nexar Launch Innovative Benchmarking Framework for AV Safety
In an era where autonomous vehicles (AVs) are becoming increasingly prevalent, safety remains a foremost concern for developers, insurers, and regulators alike. Recognizing a critical need, Lockton, a notable insurance brokerage, has partnered with Nexar, a leading platform in the realm of real-world intelligence, to unveil a groundbreaking human-benchmark framework aimed at evaluating the safety of autonomous vehicles against realistic human driving behaviors. This innovative system seeks to fill the gaps in the current AV safety landscape, where the absence of an independent benchmark presents significant challenges.
One of the major impediments to the growth of autonomous vehicles is the lack of a universally accepted standard that reflects real-world driving safety. Existing systems often struggle with risk differentiation, leading to unreliable underwriting methods for insurers. Equally, regulators lack a common framework for assessing the safety credentials of AVs, leaving developers unable to adequately showcase their systems’ performance. Preet Gill, the Executive Vice President of Lockton, emphasizes, "For autonomous vehicles to scale, safety has to be measured against a credible, independent benchmark built on real-world driving. This framework provides that benchmark." This new framework aims to establish a foundational reference point, one that can be universally recognized and utilized by various stakeholders involved with AV technology.
The framework is a culmination of Lockton's extensive experience in risk management combined with Nexar's insightful data gathered from real-world driving scenarios. But what sets this framework apart is its independence; it is designed to evaluate whether an AV system operates at, above, or below human-level safety standards when entering similar driving conditions. As emphasized by Jon Miller, Chief Business Officer at Nexar, "For the first time, AV systems can be benchmarked against a standard that wasn't built by anyone with a stake in the outcome." This independence assures all stakeholders that the verification of safety is credible and unbiased.
At the heart of this innovative framework lies BADAS 2.0, Nexar's advanced incident prediction model. Trained solely on actual driving conditions, the model analyzes over 10 billion miles of real-world data and 60 million safety-critical occurrences, boasting an impressive 99.4% average precision. Such a robust data foundation not only allows for accurate comparisons but also supports the establishment of a baseline for human driving safety across 94% of the United States through Nexar’s extensive network of 350,000 cameras.
The framework introduces two key capabilities designed to facilitate risk-based assessments:
1. Nexar Risk Index: This tool evaluates the environmental risks associated with the operational domains of AVs, considering varying geography, driving conditions, and contexts. This risk index provides an essential lens through which the safety performance of AVs can be viewed.
2. Nexar Apex: This submission platform allows AV manufacturers to validate their systems against carefully curated real-world edge cases typical of their operating environments, thereby gauging performance in relation to the human driving standard.
These components reflect the ongoing evolution of safety assessment practices in the AV industry, formalizing methodologies already recognized by high-level industry standards.
In a rapidly evolving landscape where AV adoption is increasing across logistics, transportation, and various commercial fleets, this framework also serves to address insurers, even those who do not directly underwrite AVs. By providing a benchmark for evaluating risk, Lockton can help prevent issues before they become systemic. This is vital in ensuring the overall health and sustainability of the evolving autonomous vehicle market.
As society collectively moves towards greater acceptance of autonomous technology, the introduction of a scientifically-backed human-benchmark framework will not only help in improving safety standards but will also instill confidence among the public and various stakeholders involved. This collaboration between Lockton and Nexar marks a significant milestone in bridging the gap between human driving standards and the evolving capabilities of autonomous vehicles.
Why a Human Benchmark Framework is Crucial
One of the major impediments to the growth of autonomous vehicles is the lack of a universally accepted standard that reflects real-world driving safety. Existing systems often struggle with risk differentiation, leading to unreliable underwriting methods for insurers. Equally, regulators lack a common framework for assessing the safety credentials of AVs, leaving developers unable to adequately showcase their systems’ performance. Preet Gill, the Executive Vice President of Lockton, emphasizes, "For autonomous vehicles to scale, safety has to be measured against a credible, independent benchmark built on real-world driving. This framework provides that benchmark." This new framework aims to establish a foundational reference point, one that can be universally recognized and utilized by various stakeholders involved with AV technology.
Collaboration between Lockton and Nexar
The framework is a culmination of Lockton's extensive experience in risk management combined with Nexar's insightful data gathered from real-world driving scenarios. But what sets this framework apart is its independence; it is designed to evaluate whether an AV system operates at, above, or below human-level safety standards when entering similar driving conditions. As emphasized by Jon Miller, Chief Business Officer at Nexar, "For the first time, AV systems can be benchmarked against a standard that wasn't built by anyone with a stake in the outcome." This independence assures all stakeholders that the verification of safety is credible and unbiased.
The Data Backbone
At the heart of this innovative framework lies BADAS 2.0, Nexar's advanced incident prediction model. Trained solely on actual driving conditions, the model analyzes over 10 billion miles of real-world data and 60 million safety-critical occurrences, boasting an impressive 99.4% average precision. Such a robust data foundation not only allows for accurate comparisons but also supports the establishment of a baseline for human driving safety across 94% of the United States through Nexar’s extensive network of 350,000 cameras.
Primary Components of the Framework
The framework introduces two key capabilities designed to facilitate risk-based assessments:
1. Nexar Risk Index: This tool evaluates the environmental risks associated with the operational domains of AVs, considering varying geography, driving conditions, and contexts. This risk index provides an essential lens through which the safety performance of AVs can be viewed.
2. Nexar Apex: This submission platform allows AV manufacturers to validate their systems against carefully curated real-world edge cases typical of their operating environments, thereby gauging performance in relation to the human driving standard.
These components reflect the ongoing evolution of safety assessment practices in the AV industry, formalizing methodologies already recognized by high-level industry standards.
Industry Significance
In a rapidly evolving landscape where AV adoption is increasing across logistics, transportation, and various commercial fleets, this framework also serves to address insurers, even those who do not directly underwrite AVs. By providing a benchmark for evaluating risk, Lockton can help prevent issues before they become systemic. This is vital in ensuring the overall health and sustainability of the evolving autonomous vehicle market.
Conclusion
As society collectively moves towards greater acceptance of autonomous technology, the introduction of a scientifically-backed human-benchmark framework will not only help in improving safety standards but will also instill confidence among the public and various stakeholders involved. This collaboration between Lockton and Nexar marks a significant milestone in bridging the gap between human driving standards and the evolving capabilities of autonomous vehicles.
Topics Auto & Transportation）
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