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 1511–1520 of 2605 papers

TitleStatusHype
Multi-Agent Chance-Constrained Stochastic Shortest Path with Application to Risk-Aware Intelligent Intersection—0
Energy Efficient Hardware Acceleration of Neural Networks with Power-of-Two Quantisation—0
NVRadarNet: Real-Time Radar Obstacle and Free Space Detection for Autonomous Driving—0
RALACs: Action Recognition in Autonomous Vehicles using Interaction Encoding and Optical FlowCode0
Fluid Batching: Exit-Aware Preemptive Serving of Early-Exit Neural Networks on Edge NPUs—0
Dynamics-Aware Spatiotemporal Occupancy Prediction in Urban Environments—0
Center Feature Fusion: Selective Multi-Sensor Fusion of Center-based Objects—0
Fast-Image2Point: Towards Real-Time Point Cloud Reconstruction of a Single Image using 3D Supervision—0
AdvDO: Realistic Adversarial Attacks for Trajectory Prediction—0
Model Predictive Robustness of Signal Temporal Logic Predicates—0
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Benchmark Results

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