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 281–290 of 2605 papers

TitleStatusHype
Frustum-PointPillars: A Multi-Stage Approach for 3D Object Detection using RGB Camera and LiDARCode1
StereoSpike: Depth Learning with a Spiking Neural NetworkCode1
Domain Generalization for Vision-based Driving Trajectory GenerationCode1
Fast nonlinear risk assessment for autonomous vehicles using learned conditional probabilistic models of agent futuresCode1
Efficient and Effective Generation of Test Cases for Pedestrian Detection -- Search-based Software Testing of Baidu Apollo in SVLCode1
Learning to Navigate Intersections with Unsupervised Driver Trait InferenceCode1
Neural Network Guided Evolutionary Fuzzing for Finding Traffic Violations of Autonomous VehiclesCode1
Interactive multi-modal motion planning with Branch Model Predictive ControlCode1
Multi-Agent Variational Occlusion Inference Using People as SensorsCode1
Signal Injection Attacks against CCD Image SensorsCode1
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Benchmark Results

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