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 26262650 of 6092 papers

TitleStatusHype
Output-Sampled Model Predictive Path Integral Control (o-MPPI) for Increased Efficiency0
Sequential Action-Induced Invariant Representation for Reinforcement LearningCode0
Pixel-wise Smoothing for Certified Robustness against Camera Motion PerturbationsCode0
Intent-Aware Autonomous Driving: A Case Study on Highway Merging Scenarios0
Distributional Pareto-Optimal Multi-Objective Reinforcement LearningCode1
MonoUNI: A Unified Vehicle and Infrastructure-side Monocular 3D Object Detection Network with Sufficient Depth CluesCode1
Electric Autonomous Mobility-on-Demand: Jointly Optimal Vehicle Design and Fleet Operation0
Learning to Drive Anywhere0
PanoVOS: Bridging Non-panoramic and Panoramic Views with Transformer for Video SegmentationCode1
FGFusion: Fine-Grained Lidar-Camera Fusion for 3D Object DetectionCode1
You can have your ensemble and run it too -- Deep Ensembles Spread Over Time0
PPD: A New Valet Parking Pedestrian Fisheye Dataset for Autonomous Driving0
LineMarkNet: Line Landmark Detection for Valet Parking0
LiON: Learning Point-wise Abstaining Penalty for LiDAR Outlier DetectioN Using Diverse Synthetic DataCode1
Drive as You Speak: Enabling Human-Like Interaction with Large Language Models in Autonomous Vehicles0
Rethinking Imitation-based Planner for Autonomous DrivingCode2
SPOT: Scalable 3D Pre-training via Occupancy Prediction for Learning Transferable 3D Representations0
Safe POMDP Online Planning via Shielding0
Pre-training on Synthetic Driving Data for Trajectory PredictionCode0
AR-TTA: A Simple Method for Real-World Continual Test-Time AdaptationCode0
Specification-Driven Video Search via Foundation Models and Formal Verification0
DriveDreamer: Towards Real-world-driven World Models for Autonomous DrivingCode2
RenderOcc: Vision-Centric 3D Occupancy Prediction with 2D Rendering SupervisionCode2
Guided Online Distillation: Promoting Safe Reinforcement Learning by Offline Demonstration0
Privileged to Predicted: Towards Sensorimotor Reinforcement Learning for Urban Driving0
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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