Elon Musk Dismisses LiDAR: 'Humans Drive Without Shooting Lasers Out Of Their Eyes'
Generated by AI AgentWesley Park
Thursday, Jan 30, 2025 2:22 am ET1min read
SXTP--

Elon Musk, the visionary CEO of Tesla, has once again dismissed LiDAR, the laser-based sensor used by many companies for autonomous driving. In a recent interview, Musk quipped, "Humans drive without shooting lasers out of their eyes. Why should autonomous cars be any different?" This statement is a continuation of Musk's long-standing stance against LiDAR, which he has previously referred to as a "crutch" and a "fool's errand."
Musk's confidence in Tesla's camera-based approach to autonomous driving is rooted in the company's extensive use of cameras and AI processing. Tesla's vehicles are equipped with eight cameras covering 360 degrees and up to 250 meters, allowing them to capture vast amounts of data about their surroundings. This data is used to train the company's neural networks, enabling them to better understand and navigate complex driving environments.
However, some industry experts have raised concerns about the safety and reliability of camera-only systems, particularly in low-visibility conditions. Radar and LiDAR sensors can pass through fog, dust, rain, snow, and under vehicles, providing better detection of objects in such situations. Cameras, on the other hand, may struggle in these conditions, potentially impacting safety.

Tesla has faced regulatory scrutiny and criticism for its Autopilot system, which relies solely on cameras for autonomous driving. In 2022, the National Highway Traffic Safety Administration (NHTSA) opened an investigation into Tesla's Autopilot system following several crashes involving the system. The investigation focused on the system's performance in low-visibility conditions, among other factors.
Despite these concerns, Tesla has continued to refine and improve its camera-based systems, and Musk remains confident in the company's ability to achieve full autonomy. In a recent tweet, Musk stated, "Tesla's vision-only Autopilot is the best in the world, and it's only getting better. We don't need LiDAR or radar to achieve full autonomy."
Tesla's decision to remove radar and ultrasonic sensors, in addition to LiDAR, has been a controversial one, but the company maintains that its camera-based approach is sufficient for achieving full autonomy. While some competitors, such as Waymo and Cruise, rely on a combination of LiDAR, radar, and cameras, Tesla believes that its approach offers cost savings, simplicity, and adaptability.
In conclusion, Elon Musk's dismissal of LiDAR is a reflection of Tesla's confidence in its camera-based approach to autonomous driving. While there are valid concerns about the safety and reliability of camera-only systems, particularly in low-visibility conditions, Tesla remains committed to refining and improving its vision-only systems. As the company continues to innovate and develop its autonomous driving capabilities, the debate surrounding LiDAR and camera-based systems is likely to continue.
TSLA--

Elon Musk, the visionary CEO of Tesla, has once again dismissed LiDAR, the laser-based sensor used by many companies for autonomous driving. In a recent interview, Musk quipped, "Humans drive without shooting lasers out of their eyes. Why should autonomous cars be any different?" This statement is a continuation of Musk's long-standing stance against LiDAR, which he has previously referred to as a "crutch" and a "fool's errand."
Musk's confidence in Tesla's camera-based approach to autonomous driving is rooted in the company's extensive use of cameras and AI processing. Tesla's vehicles are equipped with eight cameras covering 360 degrees and up to 250 meters, allowing them to capture vast amounts of data about their surroundings. This data is used to train the company's neural networks, enabling them to better understand and navigate complex driving environments.
However, some industry experts have raised concerns about the safety and reliability of camera-only systems, particularly in low-visibility conditions. Radar and LiDAR sensors can pass through fog, dust, rain, snow, and under vehicles, providing better detection of objects in such situations. Cameras, on the other hand, may struggle in these conditions, potentially impacting safety.

Tesla has faced regulatory scrutiny and criticism for its Autopilot system, which relies solely on cameras for autonomous driving. In 2022, the National Highway Traffic Safety Administration (NHTSA) opened an investigation into Tesla's Autopilot system following several crashes involving the system. The investigation focused on the system's performance in low-visibility conditions, among other factors.
Despite these concerns, Tesla has continued to refine and improve its camera-based systems, and Musk remains confident in the company's ability to achieve full autonomy. In a recent tweet, Musk stated, "Tesla's vision-only Autopilot is the best in the world, and it's only getting better. We don't need LiDAR or radar to achieve full autonomy."
Tesla's decision to remove radar and ultrasonic sensors, in addition to LiDAR, has been a controversial one, but the company maintains that its camera-based approach is sufficient for achieving full autonomy. While some competitors, such as Waymo and Cruise, rely on a combination of LiDAR, radar, and cameras, Tesla believes that its approach offers cost savings, simplicity, and adaptability.
In conclusion, Elon Musk's dismissal of LiDAR is a reflection of Tesla's confidence in its camera-based approach to autonomous driving. While there are valid concerns about the safety and reliability of camera-only systems, particularly in low-visibility conditions, Tesla remains committed to refining and improving its vision-only systems. As the company continues to innovate and develop its autonomous driving capabilities, the debate surrounding LiDAR and camera-based systems is likely to continue.
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