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 8190 of 2605 papers

TitleStatusHype
WHALES: A Multi-agent Scheduling Dataset for Enhanced Cooperation in Autonomous DrivingCode1
M3TR: A Generalist Model for Real-World HD Map CompletionCode1
Fast and Efficient Transformer-based Method for Bird's Eye View Instance PredictionCode1
IGDrivSim: A Benchmark for the Imitation Gap in Autonomous DrivingCode1
CRT-Fusion: Camera, Radar, Temporal Fusion Using Motion Information for 3D Object DetectionCode1
An Efficient Approach to Generate Safe Drivable Space by LiDAR-Camera-HDmap FusionCode1
CoMAL: Collaborative Multi-Agent Large Language Models for Mixed-Autonomy TrafficCode1
LoLI-Street: Benchmarking Low-Light Image Enhancement and BeyondCode1
SmartPretrain: Model-Agnostic and Dataset-Agnostic Representation Learning for Motion PredictionCode1
Efficient Motion Prediction: A Lightweight & Accurate Trajectory Prediction Model With Fast Training and Inference SpeedCode1
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Benchmark Results

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