Formation control and coordination of multiple unmanned ground vehicles in normal and faulty situations: A review
… as cooperative control, which emphasizes the cooperation function of the agents during …
and the difficulty of determining the potential functions are recognized as major drawbacks. …
and the difficulty of determining the potential functions are recognized as major drawbacks. …
Driver behavior monitoring and warning with dangerous driving detection based on the internet of vehicles
LW Chen, HM Chen - IEEE Transactions on Intelligent …, 2020 - ieeexplore.ieee.org
… 3) Dangerous Driving Determination: How do we coop… motion recognition, vehicle lane
deviation measurement, and … three examples of dangerous driving including that the vehicle …
deviation measurement, and … three examples of dangerous driving including that the vehicle …
Survey on cooperative perception in an automotive context
… art of cooperative perception methods for Vehicle-toVehicle (… This technique consists in
recognizing key points in a frame … -time such as other users or danger zones to be avoided and …
recognizing key points in a frame … -time such as other users or danger zones to be avoided and …
Unmanned aerial vehicles for wildland fires: Sensing, perception, cooperation and assistance
MA Akhloufi, A Couturier, NA Castro - Drones, 2021 - mdpi.com
… Fire detection and monitoring is based on recognition techniques, a field of research that has
seen … by smoke is not taken into account which can put the vehicle in a dangerous situation. …
seen … by smoke is not taken into account which can put the vehicle in a dangerous situation. …
Cooperative position prediction: Beyond vehicle-to-vehicle relative positioning
K Ansari - IEEE Transactions on Intelligent Transportation …, 2019 - ieeexplore.ieee.org
… the MQTT updates, which can be hazardous if left undetected… and Maneuver Recognition
(MR). This improves predictions … of vehicles, MR outperforms PF in DSRC disconnect scenarios …
(MR). This improves predictions … of vehicles, MR outperforms PF in DSRC disconnect scenarios …
Risk assessment based collision avoidance decision-making for autonomous vehicles in multi-scenarios
… autonomous vehicles to avoid collisions in multi-scenarios with … would improve drivers’
acceptance of autonomous vehicles. … did not perform well in dangerous scenarios (eg, inevitable …
acceptance of autonomous vehicles. … did not perform well in dangerous scenarios (eg, inevitable …
Interaction dataset: An international, adversarial and cooperative motion dataset in interactive driving scenarios with semantic maps
… with cooperative and adversarial motions of the vehicles. By … rush hours for the data collection,
we were able to gather … 3 shows a dangerous insertion of V0 between two vehicles (V1 …
we were able to gather … 3 shows a dangerous insertion of V0 between two vehicles (V1 …
Coopernaut: End-to-end driving with cooperative perception for networked vehicles
… to enhance autonomous driving in dangerous or emergency situations. We introduce … vehicle
perception for vision-based cooperative driving. Our model encodes LiDAR information into …
perception for vision-based cooperative driving. Our model encodes LiDAR information into …
An overview of cooperative driving in the European Union: Policies and practices
… and cooperation among vehicles and between vehicles and … of cooperative tasks comprises
hazardous location … initiatives outlined in formally recognised European projects; however, …
hazardous location … initiatives outlined in formally recognised European projects; however, …
Robustness and adaptability of reinforcement learning-based cooperative autonomous driving in mixed-autonomy traffic
… the safety and robustness of cooperative autonomous vehicles in interaction with human-driven …
, in which AVs have to guide the traffic to avoid dangerous situations. As a result, the …
, in which AVs have to guide the traffic to avoid dangerous situations. As a result, the …