{"id":9014,"date":"2018-05-03T16:13:21","date_gmt":"2018-05-03T14:13:21","guid":{"rendered":"https:\/\/www.intellias.com\/?p=9014"},"modified":"2023-08-21T08:13:26","modified_gmt":"2023-08-21T06:13:26","slug":"sensor-fusion-autonomous-cars-helps-avoid-deaths-road","status":"publish","type":"blog","link":"https:\/\/intellias.com\/sensor-fusion-autonomous-cars-helps-avoid-deaths-road\/","title":{"rendered":"How Sensor Fusion for Autonomous Cars Helps Avoid Deaths on the Road"},"content":{"rendered":"

People always fear what they don\u2019t understand. In a recent survey with AAA, 78% of U.S. drivers<\/a> report feeling afraid to ride in an autonomous vehicle (AV). 54% would also feel less safe sharing the road with driverless cars.<\/p>\n

Statistics with the series of unfortunate autonomous driving events<\/a> in recent years suggest that AVs are far from being a mature technology. Adding the \u201cfear of novelty\u201d, public scrutiny for incidents, and a lack of AV understanding \u2013 no wonder people are wary of this new technology.<\/p>\n

Nevertheless, the right combination of sensor fusion algorithms can bring autonomous driving to a\u202fnew level\u202fof safety and help overcoming these fears. The fusion of five sensors outlined below, along with connectivity to our road infrastructure, will eliminate human error. Thereby, increasing safety and preventing road fatalities.<\/p>\n

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When five senses are better than one<\/h2>\n

\"How<\/p>\n

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Sensor fusion is the merging of data from multiple sensors to achieve an outcome that far exceeds using each sensor individually.<\/p>\n\t\t\t\t<\/div>\n\t\t\t\t\n\t\t\t<\/blockquote>\n\t\t<\/section>\n

AVs need to perceive the environment with very high precision and accuracy, empowering data analytics solutions in automotive<\/span><\/a>. This ensures a safe driving experience. The combination of sensors used to fuse the data at speeds of one gigabyte per second leaves drivers safe in the knowledge that their AV is fully prepared for all road scenarios.<\/p>\n

Sensor fusion for autonomous driving has strength in aggregate numbers<\/h2>\n

All technology has its strengths and weaknesses. Individual sensors found in AVs would struggle to work as a standalone system. Fusing only the strengths of each sensor, creates high quality overlapping data patterns so the processed data will be as accurate as possible.<\/p>\n

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A fused sensor system combines the benefits of single sensors to construct a hypothesis about the state of the environment the vehicle is in.<\/p>\n\t\t\t\t<\/div>\n\t\t\t\t\n\t\t\t<\/blockquote>\n\t\t<\/section>\n

Types of the most critical autonomous vehicles sensors<\/h2>\n

The best mix of sensors for autonomous driving safety include:<\/p>\n