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 3451–3475 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
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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