12/23/2023 0 Comments NVEnc 7.30 instal the new for apple![]() Improved ego's behavior near VRUs by tuning their assumed kinematic properties and utilizing available semantic information to classify more accurately their probability of intersecting ego's path. ![]() This was done by leveraging more kinematic data to improve association between crosswalks and VRUs. Improved handling for VRUs near crosswalks by predicting their future intent more accurately. Improved VRU control by expanding planning scope to control gently for low-confidence detections that may interfere with ego's path. Expanded usage of the new object ground truth autolabeler for the NonVRU detection model, improving distant vehicle recall and geometry precision for semi-trucks, trailers, and exotic vehicles. Improved Occupancy Flow prediction from the Occupancy Network for arbitrary moving obstacles by 8%. Improved handling of oncoming cars on narrow unmarked roads by improving prediction of oncoming car's trajectory and leaving enough room for them to pass before re-centering. Also improved smoothness when changing offset direction by adjusting speed more comfortably. Improved offset consistency when controlling for static obstacles. Improved short-deadline lane changes, to avoid going off-route, through better modeling of target lane vehicles to improve gap selection assertiveness.
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