However, a reoccurring design-slash-operational issue made such sensors less desirable: significant calibration set-up. Adding the heat sensing to the long-vision, forward-looking vision would allow greater perception. With that as the backdrop, long ago (circa the late twentieth century), infrared (IR) sensors were considered and occasionally included for augmented ADAS systems or autonomous research vehicles because they helped with scenarios where vision-systems struggled: night-time darkness, extreme weather (e.g. Uber’s 2018 fatal crash in Tempe), but these news stories quietly highlight that the standard fidelity of vision-based systems (e.g., cameras) might warrant additional improvements to meet the Safety of the Intended Functionality (SOTIF) and support the predicted self-driving market of $173B by 2023. And, yes, all of the incidents are rare and Tesla does get more press than other such incidents (e.g. In fact, in response to multiple such cases, the National Highway and Traffic Safety Administration (NHTSA) reported in March that is was launching a Special Crash Investigation. Or sometimes, as in the cases of Tesla vehicles in Delray Beach (2019) and Williston (2016), the vision system’s miss of a semi-trailer resulted in two separate, unfunny crashes killing both drivers. Another blockbuster-yet-slightly-humorous story was when a second Tesla vehicle crashed within a week, but the latter accident was with a parked police vehicle (March, 2021).
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Most recently in July, algorithms inside of Tesla’s TSLA Full Self-Driving (FSD) system-initiated slowdowns for the yellowish-moon since sensors were accidentally interpreting the distant orb as a traffic signal.
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Over the past five years, there have been a series of high-profile cases of vehicles misinterpreting the driving environment while using Advanced Driver-Assistance Systems (ADAS). when adding heat sensing to the existing vision sensing systems. UNITED KINGDOM: M25 motorway traffic, pedestrians, foliage and even roadways become easier to detect.