Tesla's Full Self-Driving (FSD) system, which relies solely on cameras instead of sensors like LiDAR, has been criticized for failing to prevent a collision with a deer, raising concerns about its reliability in autonomous driving scenarios. A dashcam video shared by a Tesla owner, Paul S, shows his vehicle making no attempt to slow down or stop when hitting a deer, highlighting potential shortcomings in Tesla's image recognition capabilities, especially at night. Despite this, Paul S defended the software, calling it an 'edge case' and expressing gratitude for the vehicle's durability. Meanwhile, Tesla's internal 'Project Rodeo' involves test drivers pushing the FSD software to its limits on public roads, which some experts warn could endanger public safety. These incidents point to a broader issue with Tesla's current approach to autonomy, which has faced scrutiny due to several reported collisions, including fatal ones. The controversy surrounding Tesla's FSD highlights the potential risks and ongoing challenges in achieving fully autonomous driving.