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 3451–3500 of 6092 papers

TitleStatusHype
SPOT: Scalable 3D Pre-training via Occupancy Prediction for Learning Transferable 3D Representations—0
Drive as You Speak: Enabling Human-Like Interaction with Large Language Models in Autonomous Vehicles—0
LineMarkNet: Line Landmark Detection for Valet Parking—0
CC-SGG: Corner Case Scenario Generation using Learned Scene Graphs—0
Pre-training on Synthetic Driving Data for Trajectory PredictionCode0
Privileged to Predicted: Towards Sensorimotor Reinforcement Learning for Urban Driving—0
Conditioning Latent-Space Clusters for Real-World Anomaly Classification—0
Guided Online Distillation: Promoting Safe Reinforcement Learning by Offline Demonstration—0
AR-TTA: A Simple Method for Real-World Continual Test-Time AdaptationCode0
Specification-Driven Video Search via Foundation Models and Formal Verification—0
Deep Neighbor Layer Aggregation for Lightweight Self-Supervised Monocular Depth EstimationCode0
Kinematics-aware Trajectory Generation and Prediction with Latent Stochastic Differential Modeling—0
Intelligent machines work in unstructured environments by differential neuromorphic computing—0
Multi-camera Bird's Eye View Perception for Autonomous Driving—0
The Impact of Different Backbone Architecture on Autonomous Vehicle Dataset—0
OccupancyDETR: Using DETR for Mixed Dense-sparse 3D Occupancy Prediction—0
Adaptive Communications in Collaborative Perception with Domain Alignment for Autonomous Driving—0
Robust Frame-to-Frame Camera Rotation Estimation in Crowded Scenes—0
Pointing the Way: Refining Radar-Lidar Localization Using Learned ICP WeightsCode0
What Matters to Enhance Traffic Rule Compliance of Imitation Learning for End-to-End Autonomous Driving—0
TFNet: Exploiting Temporal Cues for Fast and Accurate LiDAR Semantic Segmentation—0
MTD: Multi-Timestep Detector for Delayed Streaming PerceptionCode0
DEFormer: DCT-driven Enhancement Transformer for Low-light Image and Dark Vision—0
SCP: Scene Completion Pre-training for 3D Object Detection—0
AmodalSynthDrive: A Synthetic Amodal Perception Dataset for Autonomous Driving—0
Emergent Communication in Multi-Agent Reinforcement Learning for Future Wireless Networks—0
SHIFT3D: Synthesizing Hard Inputs For Tricking 3D Detectors—0
HiLM-D: Towards High-Resolution Understanding in Multimodal Large Language Models for Autonomous Driving—0
Designs and Implementations in Neural Network-based Video Coding—0
Can you text what is happening? Integrating pre-trained language encoders into trajectory prediction models for autonomous driving—0
FusionFormer: A Multi-sensory Fusion in Bird's-Eye-View and Temporal Consistent Transformer for 3D Object Detection—0
EANet: Expert Attention Network for Online Trajectory Prediction—0
Reducing the False Positive Rate Using Bayesian Inference in Autonomous Driving Perception—0
Timely Fusion of Surround Radar/Lidar for Object Detection in Autonomous Driving Systems—0
Video Task Decathlon: Unifying Image and Video Tasks in Autonomous Driving—0
Mask2Anomaly: Mask Transformer for Universal Open-set Segmentation—0
PBP: Path-based Trajectory Prediction for Autonomous Driving—0
FisheyePP4AV: A privacy-preserving method for autonomous vehicles on fisheye camera imagesCode0
Safe Neural Control for Non-Affine Control Systems with Differentiable Control Barrier Functions—0
Traffic Light Recognition using Convolutional Neural Networks: A Survey—0
Diffusion-based 3D Object Detection with Random Boxes—0
Dense Object Grounding in 3D Scenes—0
A Survey of Imitation Learning: Algorithms, Recent Developments, and Challenges—0
Snow Removal for LiDAR Point Clouds with Spatio-temporal Conditional Random FieldsCode0
Adv3D: Generating 3D Adversarial Examples for 3D Object Detection in Driving Scenarios with NeRF—0
A Theoretical and Practical Framework for Evaluating Uncertainty Calibration in Object DetectionCode0
MS23D: A 3D Object Detection Method Using Multi-Scale Semantic Feature Points to Construct 3D Feature Layer—0
BTSeg: Barlow Twins Regularization for Domain Adaptation in Semantic SegmentationCode0
Towards Vehicle-to-everything Autonomous Driving: A Survey on Collaborative PerceptionCode0
Assessing Drivers' Situation Awareness in Semi-Autonomous Vehicles: ASP based Characterisations of Driving Dynamics for Modelling Scene Interpretation and Projection—0
Show:102550
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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