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 24012450 of 6092 papers

TitleStatusHype
Improving Efficiency of DNN-based Relocalization Module for Autonomous Driving with Server-side Computing0
OpenStereo: A Comprehensive Benchmark for Stereo Matching and Strong Baseline0
Towards Efficient 3D Object Detection in Bird's-Eye-View Space for Autonomous Driving: A Convolutional-Only Approach0
EpiTESTER: Testing Autonomous Vehicles with Epigenetic Algorithm and Attention MechanismCode0
Data-efficient Deep Reinforcement Learning for Vehicle Trajectory Control0
Evaluating the Impact of Flaky Simulators on Testing Autonomous Driving SystemsCode0
Heterogeneous Graph-based Trajectory Prediction using Local Map Context and Social Interactions0
MRFP: Learning Generalizable Semantic Segmentation from Sim-2-Real with Multi-Resolution Feature PerturbationCode0
VREM-FL: Mobility-Aware Computation-Scheduling Co-Design for Vehicular Federated LearningCode0
Game Projection and Robustness for Game-Theoretic Autonomous Driving0
Erasing the Ephemeral: Joint Camera Refinement and Transient Object Removal for Street View Synthesis0
Cam4DOcc: Benchmark for Camera-Only 4D Occupancy Forecasting in Autonomous Driving ApplicationsCode2
Driving into the Future: Multiview Visual Forecasting and Planning with World Model for Autonomous DrivingCode2
Empowering Autonomous Driving with Large Language Models: A Safety Perspective0
DepthSSC: Monocular 3D Semantic Scene Completion via Depth-Spatial Alignment and Voxel Adaptation0
Towards Full-scene Domain Generalization in Multi-agent Collaborative Bird's Eye View Segmentation for Connected and Autonomous DrivingCode0
UC-NeRF: Neural Radiance Field for Under-Calibrated Multi-view Cameras in Autonomous Driving0
DGNR: Density-Guided Neural Point Rendering of Large Driving Scenes0
Panacea: Panoramic and Controllable Video Generation for Autonomous DrivingCode2
Lane-Keeping Control of Autonomous Vehicles Through a Soft-Constrained Iterative LQR0
OccWorld: Learning a 3D Occupancy World Model for Autonomous DrivingCode2
Technical Report for Argoverse Challenges on 4D Occupancy Forecasting0
SOAC: Spatio-Temporal Overlap-Aware Multi-Sensor Calibration using Neural Radiance Fields0
Sparse Pedestrian Character Learning for Trajectory Prediction0
Technical Report for Argoverse Challenges on Unified Sensor-based Detection, Tracking, and Forecasting0
CalibFormer: A Transformer-based Automatic LiDAR-Camera Calibration Network0
NeuRAD: Neural Rendering for Autonomous DrivingCode2
GAN-Based LiDAR Intensity Simulation0
OpenNet: Incremental Learning for Autonomous Driving Object Detection with Balanced Loss0
GDTS: Goal-Guided Diffusion Model with Tree Sampling for Multi-Modal Pedestrian Trajectory Prediction0
GPT-4V Takes the Wheel: Promises and Challenges for Pedestrian Behavior Prediction0
Security and Privacy Challenges in Deep Learning Models0
DoubleAUG: Single-domain Generalized Object Detector in Urban via Color Perturbation and Dual-style Memory0
ADriver-I: A General World Model for Autonomous Driving0
An Empirical Study of Uncertainty Estimation Techniques for Detecting Drift in Data Streams0
Learning with Chemical versus Electrical Synapses -- Does it Make a Difference?0
Attacking Motion Planners Using Adversarial Perception Errors0
A Survey on Multimodal Large Language Models for Autonomous DrivingCode2
SelfOcc: Self-Supervised Vision-Based 3D Occupancy PredictionCode2
Applications of Large Scale Foundation Models for Autonomous Driving0
SIAM: A Simple Alternating Mixer for Video Prediction0
Beyond Boundaries: A Comprehensive Survey of Transferable Attacks on AI Systems0
A Large-Scale Car Parts (LSCP) Dataset for Lightweight Fine-Grained Detection0
Sparse4D v3: Advancing End-to-End 3D Detection and TrackingCode2
MUVO: A Multimodal World Model with Spatial Representations for Autonomous DrivingCode1
Pair-wise Layer Attention with Spatial Masking for Video PredictionCode0
Multi-Timescale Control and Communications with Deep Reinforcement Learning -- Part I: Communication-Aware Vehicle Control0
FlashOcc: Fast and Memory-Efficient Occupancy Prediction via Channel-to-Height PluginCode2
Choose Your Simulator Wisely: A Review on Open-source Simulators for Autonomous Driving0
Tactics2D: A Highly Modular and Extensible Simulator for Driving Decision-makingCode2
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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