question: You are answering a 3D spatial-reasoning question from a SINGLE monocular driving image with numbered bounding boxes. Frontier models routinely get these right by luck while reasoning incorrectly: they lean on flat-image shortcuts ('lower in the frame = closer', 'bigger box = nearer', 'left in the image = to my left') that collapse on elevated roads, slopes, curves, and intersections. To answer reliably you must reconstruct the real 3D scene, not the pixel layout. Reason explicitly and quantitatively.
  
  Question: In what direction is object <1> heading? Use clock directions where 12 o'clock is our forward direction and 3 o'clock is our right.
  
  Reasoning protocol (yaw from a single frame — the hardest case):
  1. Determine which FACE(S) of the object are visible: rear, front, left flank, right flank, or a corner (e.g. rear+left). The visible face fixes the heading hemisphere.
  2. Read orientation cues: tail-lights vs head-lights, windshield vs rear window, wheel/axle orientation, and the object's long body axis relative to its lane.
  3. Compare that body axis to the ego forward axis and translate into the clock convention (12 o'clock = ego forward, 3 o'clock = ego right).
  4. Sanity-check with motion logic: a vehicle in an oncoming lane faces toward ego (~6 o'clock); a leading vehicle in your lane faces away (~12 o'clock); cross-traffic sits near 3 or 9 o'clock.
  State the visible faces and inferred yaw before answering.
  
  Finish with a single line in the exact format: 'Answer: <LETTER>'.
choices: A. forward — same direction as ego (12 o'clock) B. leftward — perpendicular left (9 o'clock) C. backward — toward ego (6 o'clock) D. rightward — perpendicular right (3 o'clock)