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

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Showing 4851–4900 of 6092 papers

TitleStatusHype
Pixel and Feature Level Based Domain Adaption for Object Detection in Autonomous Driving—0
Pixel-Level Clustering Network for Unsupervised Image Segmentation—0
PixSelect: Less but Reliable Pixels for Accurate and Efficient Localization—0
PixSet : An Opportunity for 3D Computer Vision to Go Beyond Point Clouds With a Full-Waveform LiDAR Dataset—0
PKRD-CoT: A Unified Chain-of-thought Prompting for Multi-Modal Large Language Models in Autonomous Driving—0
Planning and Tracking Control of Full Drive-by-Wire Electric Vehicles in Unstructured Scenario—0
Planning-Aware Diffusion Networks for Enhanced Motion Forecasting in Autonomous Driving—0
Planning with Adaptive World Models for Autonomous Driving—0
Plan-R1: Safe and Feasible Trajectory Planning as Language Modeling—0
Plants Don't Walk on the Street: Common-Sense Reasoning for Reliable Semantic Segmentation—0
PLATYPUS: Progressive Local Surface Estimator for Arbitrary-Scale Point Cloud Upsampling—0
Plausible Uncertainties for Human Pose Regression—0
PLIN: A Network for Pseudo-LiDAR Point Cloud Interpolation—0
PLOP: Probabilistic poLynomial Objects trajectory Planning for autonomous driving—0
PLT-D3: A High-fidelity Dynamic Driving Simulation Dataset for Stereo Depth and Scene Flow—0
PointAugmenting: Cross-Modal Augmentation for 3D Object Detection—0
PointCert: Point Cloud Classification with Deterministic Certified Robustness Guarantees—0
Point Cloud-Assisted Neural Image Compression—0
Point Cloud Based Scene Segmentation: A Survey—0
Point Cloud Compression and Objective Quality Assessment: A Survey—0
PointDifformer: Robust Point Cloud Registration With Neural Diffusion and Transformer—0
PointDP: Diffusion-driven Purification against Adversarial Attacks on 3D Point Cloud Recognition—0
PointeNet: A Lightweight Framework for Effective and Efficient Point Cloud Analysis—0
PointGuard: Provably Robust 3D Point Cloud Classification—0
PointRGCN: Graph Convolution Networks for 3D Vehicles Detection Refinement—0
Point-Syn2Real: Semi-Supervised Synthetic-to-Real Cross-Domain Learning for Object Classification in 3D Point Clouds—0
PointWavelet: Learning in Spectral Domain for 3D Point Cloud Analysis—0
Poisoning Attacks on Federated Learning for Autonomous Driving—0
Poisoning the Search Space in Neural Architecture Search—0
Polarimetric Imaging for Perception—0
Polarization Wavefront Lidar: Learning Large Scene Reconstruction from Polarized Wavefronts—0
PolarNet: Accelerated Deep Open Space Segmentation Using Automotive Radar in Polar Domain—0
Policy Distillation with Selective Input Gradient Regularization for Efficient Interpretability—0
Polynomial Regression Network for Variable-Number Lane Detection—0
PoseBench: Benchmarking the Robustness of Pose Estimation Models under Corruptions—0
Pose Estimation and 3D Reconstruction of Vehicles from Stereo-Images Using a Subcategory-Aware Shape Prior—0
Pose Estimation of Specific Rigid Objects—0
PosePilot: Steering Camera Pose for Generative World Models with Self-supervised Depth—0
Pose Refinement with Joint Optimization of Visual Points and Lines—0
Poses as Queries: Image-to-LiDAR Map Localization with Transformers—0
Post-interactive Multimodal Trajectory Prediction for Autonomous Driving—0
Potential Auto-driving Threat: Universal Rain-removal Attack—0
Potential Game-Based Decision-Making for Autonomous Driving—0
Poutine: Vision-Language-Trajectory Pre-Training and Reinforcement Learning Post-Training Enable Robust End-to-End Autonomous Driving—0
PPD: A New Valet Parking Pedestrian Fisheye Dataset for Autonomous Driving—0
PPEA-Depth: Progressive Parameter-Efficient Adaptation for Self-Supervised Monocular Depth Estimation—0
PPT: Pretraining with Pseudo-Labeled Trajectories for Motion Forecasting—0
Seeing isn't Believing: Practical Adversarial Attack Against Object Detectors—0
PRANK: motion Prediction based on RANKing—0
Precise Drive with VLM: First Prize Solution for PRCV 2024 Drive LM challenge—0
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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