Extended maximum trajectory optimization horizon, resulting in smoother control for high curvature roads and far away vehicles when driving at highway speeds. These were achieved by increasing video context in the network, adding more data of these scenarios, and increasing the loss penalty for control-relevant vehicles. Improved precision by 23% for cases where other vehicles transition to driving and reduced error by 12% for cases where Autopilot incorrectly detects its lead vehicle as parked. Improved accuracy for detecting other vehicles' moving semantics. This was accomplished by integrating the latest version of the lane-guidance module into the road edge and lines network. Made turns smoother by improving the detection consistency between lanes, lines and road edge predictions. This results in more natural gap selection to overtake adjacent lane vehicles very close to ego. Improved lane changes in dense traffic scenarios by allowing higher acceleration during the alignment phase. Ego will now maintain more headway in blocked lanes to hedge for possible gaps in dense traffic. Improved behavior for path blockage lane changes in dense traffic. Improved handling during scenarios with high curvature or large trucks by offsetting in lane to maintain safe distances to other vehicles on the road and increase comfort. Improved the position of ego in wide lanes, by biasing in the direction of the upcoming turn to allow other cars to maneuver around ego. Additionally, expanded and tuned dedicated speed control for cut-in objects. Improved recall for close-by cut-in cases by 15%, particularly for large trucks and high-yaw rate scenarios, through an additional 30k auto-labeled clips mined from the fleet. FSD Beta's multi-camera video networks and next-gen planner, that allows for more complex agent interactions with less reliance on lanes, make way for adding more intelligent behaviors, smoother control and better decision making. The legacy highway stack still relies on several single-camera and single-frame networks, and was setup to handle simple lane-specific maneuvers. This unifies the vision and planning stack on and off-highway and replaces the legacy highway stack, which is over four years old.
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