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After reviewing the energy conversion advantages of electrified vehicles and the potential to optimize autonomous vehicle operation by optimizing their driving strategies in accordance with advanced driver assistance system performance, this paper highlights the broad implications of selecting energy efficient lidar sensors as the central components in autonomous vehicle perception stacks. Energy efficient components have significant impact on electrified autonomous vehicles’ overall range, energy consumption, and required service and maintenance infrastructure. ...In evaluating the relative efficiency of various lidar sensors, this paper proposes a new metric: the ratio of sensor performance specifications (field of view, range, resolution) compared to sensor characteristics that directly impact electrified autonomous vehicle efficiency (power consumption, weight, volume).

More than 90% of new vehicles include Advanced Driving Assistance Systems that offer features such as Lane Keep Assist and Adaptive Cruise Control [1]. These ever-improving vehicle systems present a great opportunity to increase driving safety and reduce the number of roadway deaths and injuries. Indeed, they are already having a positive effect. However, the wide variety of features offered in the marketplace can be confusing to consumers, who may not clearly understand their vehicles’ true capabilities and limitations, or have an easy way of comparing system performance between vehicle models. This lack of information has the potential to reduce the safety gains of ADAS features by increasing the risk of improper use. To encourage transparency in the marketplace and thus engender the maximum positive effect of ADAS technologies, this paper proposes a five-level rating system, which utilizes diamonds to denote significant milestone achievements in vehicle system performance.