What is making this technology a reality, at least in an experimental setting for now, is the evolution of solid-state lidar sensors by Luminar, as well as the dropping cost of sensor technology, even absent Level 3 aspirations. "We are on course to develop collision-avoidance technology utilizing next-generation lidar technology by the mid-2020s," said Senior Vice President Takao Asami, head of Nissan's Research and Advanced Engineering Division. The automaker is working with lidar maker Luminar, currently known for its contributions to emerging Level 3 systems, to develop this technology. Such a system would automatically engage the brakes if it senses an object approaching from either direction as it moves forward into an intersection. Nissan is working on a new control logic just for intersection collision avoidance, using lidar to track an object's location, speed, and potential risk of impact from a lateral direction. One such system that's making its way through the development pipeline at the moment addresses one of the most frightening but surprisingly common traffic accident scenarios: a high-speed impact at an intersection from the right or left of the vehicle. But in reality, there are a handful of other active safety features being tested that haven't appeared in vehicles due to the complexity and cost of sensors they require. Nissan expects to develop this technology by the middle of the decade, but hasn't mentioned just which vehicles might see it deployed first.īy now, following a decade and a half of advanced driver-assistance systems (ADAS) being introduced in cars, the only room for improvement appears to be in the direction of higher autonomy systems. The system uses a lidar sensor from Luminar, which has recently been in the news for its use in Level 3 semi-autonomous driving systems. Nissan is working on a new collision-avoidance system that can detect vehicles approaching from the side at intersections, and apply the brakes automatically. Nissan Is Testing a New Crash-Avoidance System Nissan
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