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

Showing 911920 of 2605 papers

TitleStatusHype
Evaluating Global Geo-alignment for Precision Learned Autonomous Vehicle Localization using Aerial Data0
Evaluating Pedestrian Trajectory Prediction Methods with Respect to Autonomous Driving0
Evaluating Roadside Perception for Autonomous Vehicles: Insights from Field Testing0
Evaluating Scenario-based Decision-making for Interactive Autonomous Driving Using Rational Criteria: A Survey0
Deconvolutional Networks for Point-Cloud Vehicle Detection and Tracking in Driving Scenarios0
Every View Counts: Cross-View Consistency in 3D Object Detection with Hybrid-Cylindrical-Spherical Voxelization0
Automated Evaluation of Semantic Segmentation Robustness for Autonomous Driving0
evS2CP: Real-time Simultaneous Speed and Charging Planner for Connected Electric Vehicles0
EvSegSNN: Neuromorphic Semantic Segmentation for Event Data0
Decomposition and Quantification of SOTIF Requirements for Perception Systems of Autonomous Vehicles0
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Benchmark Results

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