SOTAVerified

Autonomous Vehicles

Autonomous vehicles is the task of making a vehicle that can guide itself without human conduction.

Many of the state-of-the-art results can be found at more general task pages such as 3D Object Detection and Semantic Segmentation.

( Image credit: GSNet: Joint Vehicle Pose and Shape Reconstruction with Geometrical and Scene-aware Supervision )

Papers

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Showing 1331–1340 of 2605 papers

TitleStatusHype
Potential-based Credit Assignment for Cooperative RL-based Testing of Autonomous Vehicles—0
Analysis over vision-based models for pedestrian action anticipation—0
A Comprehensive Overview and Comparative Analysis on Deep Learning Models: CNN, RNN, LSTM, GRU—0
Moral Machine or Tyranny of the Majority?—0
Merging control in mixed traffic with safety guarantees: a safe sequencing policy with optimal motion control—0
Comparison of Pedestrian Prediction Models from Trajectory and Appearance Data for Autonomous Driving—0
CUEING: a lightweight model to Capture hUman attEntion In driviNG—0
On the Robustness of Segment Anything—0
survAIval: Survival Analysis with the Eyes of AI—0
From Model-Based to Data-Driven Simulation: Challenges and Trends in Autonomous Driving—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1BAAMA3DP22.85—Unverified
2GSNetA3DP20.21—Unverified