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 1801–1850 of 6092 papers

TitleStatusHype
Team Samsung-RAL: Technical Report for 2024 RoboDrive Challenge-Robust Map Segmentation Track—0
NeRO: Neural Road Surface ReconstructionCode1
Towards Consistent and Explainable Motion Prediction using Heterogeneous Graph Attention—0
*: Improving the 3D detector by introducing Voxel2Pillar feature encoding and extracting multi-scale features—0
Infrared Adversarial Car Stickers—0
Cooperative Visual-LiDAR Extrinsic Calibration Technology for Intersection Vehicle-Infrastructure: A review—0
Collision Avoidance Metric for 3D Camera EvaluationCode0
UDA4Inst: Unsupervised Domain Adaptation for Instance Segmentation—0
Perception Without Vision for Trajectory Prediction: Ego Vehicle Dynamics as Scene Representation for Efficient Active Learning in Autonomous Driving—0
CarDreamer: Open-Source Learning Platform for World Model based Autonomous DrivingCode3
The Pitfalls and Promise of Conformal Inference Under Adversarial AttacksCode0
The RoboDrive Challenge: Drive Anytime Anywhere in Any Condition—0
Ambiguous Annotations: When is a Pedestrian not a Pedestrian?—0
AnoVox: A Benchmark for Multimodal Anomaly Detection in Autonomous DrivingCode1
MaskFuser: Masked Fusion of Joint Multi-Modal Tokenization for End-to-End Autonomous Driving—0
oTTC: Object Time-to-Contact for Motion Estimation in Autonomous Driving—0
Large Language Models for Education: A Survey—0
Modeling Pedestrian Intrinsic Uncertainty for Multimodal Stochastic Trajectory Prediction via Energy Plan Denoising—0
Multi-agent Traffic Prediction via Denoised Endpoint Distribution—0
Multi-Object Tracking in the DarkCode1
Autonomous Driving with a Deep Dual-Model Solution for Steering and Braking Control—0
Selective Focus: Investigating Semantics Sensitivity in Post-training Quantization for Lane Detection—0
Probing Multimodal LLMs as World Models for DrivingCode1
Towards Robust Physical-world Backdoor Attacks on Lane Detection—0
Traj-LLM: A New Exploration for Empowering Trajectory Prediction with Pre-trained Large Language Models—0
Novel Actor-Critic Algorithm for Robust Decision Making of CAV under Delays and Loss of V2X Data—0
A Survey on Occupancy Perception for Autonomous Driving: The Information Fusion PerspectiveCode4
Multi-Modal Data-Efficient 3D Scene Understanding for Autonomous DrivingCode3
Tiny Deep Ensemble: Uncertainty Estimation in Edge AI Accelerators via Ensembling Normalization Layers with Shared Weights—0
Roadside Units Assisted Localized Automated Vehicle Maneuvering: An Offline Reinforcement Learning Approach—0
Unified End-to-End V2X Cooperative Autonomous Driving—0
DriveWorld: 4D Pre-trained Scene Understanding via World Models for Autonomous Driving—0
Deep Event-based Object Detection in Autonomous Driving: A Survey—0
TorchDriveEnv: A Reinforcement Learning Benchmark for Autonomous Driving with Reactive, Realistic, and Diverse Non-Playable Characters—0
ESP: Extro-Spective Prediction for Long-term Behavior Reasoning in Emergency Scenarios—0
Role of Sensing and Computer Vision in 6G Wireless CommunicationsCode0
Feature Map Convergence Evaluation for Functional Module—0
UniGen: Unified Modeling of Initial Agent States and Trajectories for Generating Autonomous Driving Scenarios—0
BadFusion: 2D-Oriented Backdoor Attacks against 3D Object Detection—0
SocialFormer: Social Interaction Modeling with Edge-enhanced Heterogeneous Graph Transformers for Trajectory Prediction—0
Is Sora a World Simulator? A Comprehensive Survey on General World Models and BeyondCode4
SalFAU-Net: Saliency Fusion Attention U-Net for Salient Object Detection—0
Vision-based 3D occupancy prediction in autonomous driving: a review and outlookCode3
Obstacle Avoidance of Autonomous Vehicles: An LPVMPC with Scheduling Trust Region—0
DiffMap: Enhancing Map Segmentation with Map Prior Using Diffusion Model—0
M^2Depth: Self-supervised Two-Frame Multi-camera Metric Depth Estimation—0
MFTraj: Map-Free, Behavior-Driven Trajectory Prediction for Autonomous Driving—0
Multi-Space Alignments Towards Universal LiDAR SegmentationCode2
OmniDrive: A Holistic Vision-Language Dataset for Autonomous Driving with Counterfactual ReasoningCode4
Federated Learning with Heterogeneous Data Handling for Robust Vehicular Object DetectionCode0
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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