Correct typos and update video

_publications/neuro-ncap/neuro-ncap.md

@@ -21,7 +21,7 @@ n_equal_contrib: 2
 
 
 # Core idea
-The core idea in NeuroNCAP is to **leverage NeRFs** for autonomous driving <d-cite key="tonderski2023neurad"></d-cite> **to realistically simulate safety-critical scenarios** from a sequence of real-world data **and evaluate entire AD systems in closed-loop**. To this end, we release an **open-source framework**, and evaluate two state-of-the-art end-to-end planners, UniAD <d-cite key="hu2023planning"></d-cite> and VAD <d-cite key="jiang2023vad"></d-cite>, in our safety-critical NeuroNCAP scenarios. We find that they **fail to avoid collisions**, even though they accurately perceive the safety-critical actor. We hope that NeuroNCAP will be used as a **benchmark for evaluating the safety of autonomous driving models**.
+The core idea in NeuroNCAP is to **leverage NeRFs** for autonomous driving <d-cite key="tonderski2023neurad"></d-cite> **to realistically simulate safety-critical scenarios** from a sequence of real-world data **and evaluate end-to-end AD systems in closed-loop**. To this end, we release an **open-source framework**, and evaluate two state-of-the-art end-to-end planners, UniAD <d-cite key="hu2023planning"></d-cite> and VAD <d-cite key="jiang2023vad"></d-cite>, on our safety-critical NeuroNCAP scenarios. We find that they **fail to avoid collisions**, even though they accurately perceive the safety-critical actor. We hope that NeuroNCAP will be used as a **benchmark for evaluating the safety of autonomous driving models**.
 
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