SOTAVerified

Autonomous Driving

Autonomous driving is the task of driving a vehicle 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: Exploring the Limitations of Behavior Cloning for Autonomous Driving)

Papers

Showing 526550 of 6092 papers

TitleStatusHype
COOOL: Challenge Of Out-Of-Label A Novel Benchmark for Autonomous DrivingCode1
MVCTrack: Boosting 3D Point Cloud Tracking via Multimodal-Guided Virtual CuesCode1
Trajectory-based Road Autolabeling with Lidar-Camera Fusion in Winter ConditionsCode1
SEED4D: A Synthetic Ego--Exo Dynamic 4D Data Generator, Driving Dataset and BenchmarkCode1
A Multi-Loss Strategy for Vehicle Trajectory Prediction: Combining Off-Road, Diversity, and Directional Consistency LossesCode1
From Open Vocabulary to Open World: Teaching Vision Language Models to Detect Novel ObjectsCode1
WHALES: A Multi-agent Scheduling Dataset for Enhanced Cooperation in Autonomous DrivingCode1
Robust 3D Semantic Occupancy Prediction with Calibration-free Spatial TransformationCode1
ALOcc: Adaptive Lifting-based 3D Semantic Occupancy and Cost Volume-based Flow PredictionCode1
Large-scale moral machine experiment on large language modelsCode1
LSSInst: Improving Geometric Modeling in LSS-Based BEV Perception with Instance RepresentationCode1
IGDrivSim: A Benchmark for the Imitation Gap in Autonomous DrivingCode1
Learning Multiple Initial Solutions to Optimization ProblemsCode1
ROAD-Waymo: Action Awareness at Scale for Autonomous DrivingCode1
Polar R-CNN: End-to-End Lane Detection with Fewer AnchorsCode1
An Efficient Approach to Generate Safe Drivable Space by LiDAR-Camera-HDmap FusionCode1
SpikMamba: When SNN meets Mamba in Event-based Human Action RecognitionCode1
Explainability of Point Cloud Neural Networks Using SMILE: Statistical Model-Agnostic Interpretability with Local ExplanationsCode1
Real-time Stereo-based 3D Object Detection for Streaming PerceptionCode1
TEOcc: Radar-camera Multi-modal Occupancy Prediction via Temporal EnhancementCode1
CAFuser: Condition-Aware Multimodal Fusion for Robust Semantic Perception of Driving ScenesCode1
LoLI-Street: Benchmarking Low-Light Image Enhancement and BeyondCode1
PRFusion: Toward Effective and Robust Multi-Modal Place Recognition with Image and Point Cloud FusionCode1
Spatial-Temporal Multi-Cuts for Online Multiple-Camera Vehicle TrackingCode1
Open3DTrack: Towards Open-Vocabulary 3D Multi-Object TrackingCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ReasonNetDriving Score79.95Unverified
2InterFuserDriving Score76.18Unverified
3TCPDriving Score75.14Unverified
4TF++ WPDriving Score66.32Unverified
5Learning From All Vehicles (LAV)Driving Score61.85Unverified
6TransFuserDriving Score61.18Unverified
7TransFuser (Reproduced)Driving Score55.04Unverified
8TCP (Reproduced)Driving Score47.91Unverified
9Latent TransFuserDriving Score45.2Unverified
10GRIADDriving Score36.79Unverified
#ModelMetricClaimedVerifiedStatus
1Geometric FusionRC69.17Unverified
2TransFuserRC56.36Unverified
#ModelMetricClaimedVerifiedStatus
1Geometric FusionRC86.91Unverified
2TransFuserRC78.41Unverified