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 271280 of 2605 papers

TitleStatusHype
BirdNet+: End-to-End 3D Object Detection in LiDAR Bird's Eye ViewCode1
BirdNet: a 3D Object Detection Framework from LiDAR informationCode1
Improving Movement Predictions of Traffic Actors in Bird's-Eye View Models using GANs and Differentiable Trajectory RasterizationCode1
Bootstrapping Autonomous Driving Radars with Self-Supervised LearningCode1
BAT: Behavior-Aware Human-Like Trajectory Prediction for Autonomous DrivingCode1
A Shared Representation for Photorealistic Driving SimulatorsCode1
Interactive multi-modal motion planning with Branch Model Predictive ControlCode1
Can Autonomous Vehicles Identify, Recover From, and Adapt to Distribution Shifts?Code1
Human Trajectory Prediction via Counterfactual AnalysisCode1
AVP-SLAM: Semantic Visual Mapping and Localization for Autonomous Vehicles in the Parking LotCode1
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Benchmark Results

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