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 2851–2900 of 6092 papers

TitleStatusHype
Enhancing Interaction Modeling with Agent Selection and Physical Coefficient for Trajectory Prediction—0
Mutual Information Analysis in Multimodal Learning Systems—0
Transparency Distortion Robustness for SOTA Image Segmentation Tasks—0
Stereo-Knowledge Distillation from dpMV to Dual Pixels for Light Field Video Reconstruction—0
A comprehensive overview of deep learning techniques for 3D point cloud classification and semantic segmentation—0
Searching Realistic-Looking Adversarial Objects For Autonomous Driving Systems—0
Generalized Multi-Objective Reinforcement Learning with Envelope Updates in URLLC-enabled Vehicular Networks—0
RuleFuser: An Evidential Bayes Approach for Rule Injection in Imitation Learned Planners and Predictors for Robustness under Distribution Shifts—0
Team Samsung-RAL: Technical Report for 2024 RoboDrive Challenge-Robust Map Segmentation Track—0
GEOcc: Geometrically Enhanced 3D Occupancy Network with Implicit-Explicit Depth Fusion and Contextual Self-Supervision—0
Towards Consistent and Explainable Motion Prediction using Heterogeneous Graph Attention—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
*: Improving the 3D detector by introducing Voxel2Pillar feature encoding and extracting multi-scale features—0
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
Ambiguous Annotations: When is a Pedestrian not a Pedestrian?—0
The RoboDrive Challenge: Drive Anytime Anywhere in Any Condition—0
The Pitfalls and Promise of Conformal Inference Under Adversarial AttacksCode0
oTTC: Object Time-to-Contact for Motion Estimation in Autonomous Driving—0
MaskFuser: Masked Fusion of Joint Multi-Modal Tokenization for End-to-End Autonomous Driving—0
Modeling Pedestrian Intrinsic Uncertainty for Multimodal Stochastic Trajectory Prediction via Energy Plan Denoising—0
Large Language Models for Education: A Survey—0
Multi-agent Traffic Prediction via Denoised Endpoint Distribution—0
Selective Focus: Investigating Semantics Sensitivity in Post-training Quantization for Lane Detection—0
Autonomous Driving with a Deep Dual-Model Solution for Steering and Braking Control—0
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
Unified End-to-End V2X Cooperative Autonomous Driving—0
ESP: Extro-Spective Prediction for Long-term Behavior Reasoning in Emergency Scenarios—0
TorchDriveEnv: A Reinforcement Learning Benchmark for Autonomous Driving with Reactive, Realistic, and Diverse Non-Playable Characters—0
Roadside Units Assisted Localized Automated Vehicle Maneuvering: An Offline Reinforcement Learning Approach—0
Tiny Deep Ensemble: Uncertainty Estimation in Edge AI Accelerators via Ensembling Normalization Layers with Shared Weights—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
Role of Sensing and Computer Vision in 6G Wireless CommunicationsCode0
Feature Map Convergence Evaluation for Functional Module—0
SocialFormer: Social Interaction Modeling with Edge-enhanced Heterogeneous Graph Transformers for Trajectory Prediction—0
BadFusion: 2D-Oriented Backdoor Attacks against 3D Object Detection—0
UniGen: Unified Modeling of Initial Agent States and Trajectories for Generating Autonomous Driving Scenarios—0
SalFAU-Net: Saliency Fusion Attention U-Net for Salient Object Detection—0
M^2Depth: Self-supervised Two-Frame Multi-camera Metric Depth Estimation—0
Obstacle Avoidance of Autonomous Vehicles: An LPVMPC with Scheduling Trust Region—0
DiffMap: Enhancing Map Segmentation with Map Prior Using Diffusion Model—0
MFTraj: Map-Free, Behavior-Driven Trajectory Prediction for Autonomous Driving—0
Poisoning Attacks on Federated Learning for Autonomous Driving—0
Language-Enhanced Latent Representations for Out-of-Distribution Detection in Autonomous Driving—0
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