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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 2301–2325 of 6092 papers

TitleStatusHype
SAFE-SIM: Safety-Critical Closed-Loop Traffic Simulation with Diffusion-Controllable Adversaries—0
STIGCN: spatial–temporal interaction‑aware graph convolution network for pedestrian trajectory predictionCode1
Generative AI-driven Semantic Communication Networks: Architecture, Technologies and Applications—0
LLM-Assist: Enhancing Closed-Loop Planning with Language-Based Reasoning—0
SSL-OTA: Unveiling Backdoor Threats in Self-Supervised Learning for Object Detection—0
Visual Point Cloud Forecasting enables Scalable Autonomous DrivingCode2
Fast Quantum Convolutional Neural Networks for Low-Complexity Object Detection in Autonomous Driving Applications—0
DOEPatch: Dynamically Optimized Ensemble Model for Adversarial Patches Generation—0
Fully Sparse 3D Occupancy PredictionCode2
FENet: Focusing Enhanced Network for Lane DetectionCode1
Risk-anticipatory autonomous driving strategies considering vehicles' weights, based on hierarchical deep reinforcement learning—0
LIP-Loc: LiDAR Image Pretraining for Cross-Modal Localization—0
Autonomous Driving using Residual Sensor Fusion and Deep Reinforcement LearningCode1
End-To-End Planning of Autonomous Driving in Industry and Academia: 2022-2023—0
Adaptive Kalman-based hybrid car following strategy using TD3 and CACC—0
LaneSegNet: Map Learning with Lane Segment Perception for Autonomous DrivingCode2
Attention-aware Social Graph Transformer Networks for Stochastic Trajectory Prediction—0
A Survey on Open-Set Image Recognition—0
A Unified Generative Framework for Realistic Lidar Simulation in Autonomous Driving SystemsCode1
OKGR: Occluded Keypoint Generation and Refinement for 3D Object DetectionCode0
Scaling Is All You Need: Autonomous Driving with JAX-Accelerated Reinforcement Learning—0
Pre-trained Trojan Attacks for Visual Recognition—0
TimePillars: Temporally-Recurrent 3D LiDAR Object Detection—0
Explainable Multi-Camera 3D Object Detection with Transformer-Based Saliency Maps—0
MonoLSS: Learnable Sample Selection For Monocular 3D DetectionCode1
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Benchmark Results

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