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 1081–1090 of 2605 papers

TitleStatusHype
FMM-X3D: FPGA-based modeling and mapping of X3D for Human Action Recognition—0
View-to-Label: Multi-View Consistency for Self-Supervised 3D Object Detection—0
Pedestrian detection with high-resolution event camera—0
Safety of autonomous vehicles: A survey on Model-based vs. AI-based approaches—0
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
FollowNet: A Comprehensive Benchmark for Car-Following Behavior ModelingCode1
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Benchmark Results

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