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.

Papers

Showing 2221–2230 of 2605 papers

Title	Date	Tasks	Status
PaRoT: A Practical Framework for Robust Deep Neural Network Training	Jan 7, 2020	Adversarial DefenseAutonomous Vehicles	CodeCode Available
The Pedestrian Patterns Dataset	Jan 6, 2020	Autonomous DrivingAutonomous Vehicles	—Unverified
Learning Selective Sensor Fusion for States Estimation	Dec 30, 2019	Autonomous VehiclesSensor Fusion	—Unverified
Vehicle Communication using Hash Chain-based Secure Cluster	Dec 28, 2019	Autonomous DrivingAutonomous Vehicles	—Unverified
A Multicriteria Decision Making Approach to Study the Barriers to the Adoption of Autonomous Vehicles	Dec 27, 2019	Autonomous VehiclesDecision Making	—Unverified
A Survey of Deep Learning Applications to Autonomous Vehicle Control	Dec 23, 2019	Autonomous VehiclesDeep Learning	—Unverified
Practical Solutions for Machine Learning Safety in Autonomous Vehicles	Dec 20, 2019	Autonomous VehiclesBIG-bench Machine Learning	—Unverified
Dependable Neural Networks for Safety Critical Tasks	Dec 20, 2019	Autonomous VehiclesDomain Adaptation	—Unverified
MEDIRL: Predicting the Visual Attention of Drivers via Maximum Entropy Deep Inverse Reinforcement Learning	Dec 17, 2019	Autonomous Vehiclesreinforcement-learning	CodeCode Available
Deep Radar Waveform Design for Efficient Automotive Radar Sensing	Dec 17, 2019	Autonomous VehiclesRadar waveform design	—Unverified

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#	Model	Metric	Claimed	Verified	Status
1	BAAM	A3DP	22.85	—	Unverified
2	GSNet	A3DP	20.21	—	Unverified