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 351360 of 2605 papers

TitleStatusHype
3DMOTFormer: Graph Transformer for Online 3D Multi-Object TrackingCode1
M4Depth: Monocular depth estimation for autonomous vehicles in unseen environmentsCode1
MANTRA: Memory Augmented Networks for Multiple Trajectory PredictionCode1
Memory-augmented Online Video Anomaly DetectionCode1
Monitoring and Adapting the Physical State of a Camera for Autonomous VehiclesCode1
MODIPHY: Multimodal Obscured Detection for IoT using PHantom Convolution-Enabled Faster YOLOCode1
MonoProb: Self-Supervised Monocular Depth Estimation with Interpretable UncertaintyCode1
MotionLM: Multi-Agent Motion Forecasting as Language ModelingCode1
Multi-Agent Trajectory Prediction With Heterogeneous Edge-Enhanced Graph Attention NetworkCode1
BirdNet+: End-to-End 3D Object Detection in LiDAR Bird's Eye ViewCode1
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Benchmark Results

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