SOTAVerified

Autonomous Vehicles

Autonomous vehicles is the task of making a vehicle that can guide itself 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: GSNet: Joint Vehicle Pose and Shape Reconstruction with Geometrical and Scene-aware Supervision )

Papers

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Showing 291–300 of 2605 papers

TitleStatusHype
Continuous-Time Spatiotemporal Calibration of a Rolling Shutter Camera---IMU SystemCode1
Evaluating Adversarial Attacks on Driving Safety in Vision-Based Autonomous VehiclesCode1
Toward Improving Confidence in Autonomous Vehicle Software: A Study on Traffic Sign Recognition SystemsCode1
Human Trajectory Prediction via Counterfactual AnalysisCode1
Finding Failures in High-Fidelity Simulation using Adaptive Stress Testing and the Backward AlgorithmCode1
Traffic4D: Single View Reconstruction of Repetitious Activity Using Longitudinal Self-SupervisionCode1
Learning a Model for Inferring a Spatial Road Lane Network Graph using Self-SupervisionCode1
NuPlan: A closed-loop ML-based planning benchmark for autonomous vehiclesCode1
A Dynamic Spatial-temporal Attention Network for Early Anticipation of Traffic AccidentsCode1
A system of vision sensor based deep neural networks for complex driving scene analysis in support of crash risk assessment and preventionCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1BAAMA3DP22.85—Unverified
2GSNetA3DP20.21—Unverified