Carolo Cup

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The Carolo Cup is an annual, international university competition for autonomous model vehicles on a scale of 1:10. The cup is organized by the Technical University of Braunschweig and has been taking place since 2008.

Braunschweig city hall
Free training in the Braunschweig city hall

The model vehicle manufactured in advance by the students is assessed in terms of technical and economic aspects by a jury of experts from science and industry and must complete various driving tasks based on realistic scenarios as quickly and error-free as possible. Since the first Carolo Cup, additional challenges such as intersections, pedestrian islands and recognizing traffic signs have been added. In addition to German university groups, international teams, for example from Poland and China, are now also taking part. The Basic Cup was created to make it easier for new teams to get started. Before 2018 there was also the "Junior Cup", in which groups of schoolchildren competed against each other.

Disciplines

Basically, a distinction is made between the static disciplines, in which the technical approaches are presented, and the dynamic disciplines, in which the vehicle drives a route.

As of 2018

  • Static Event (Static Disciplines)
    • S1: Presentation and Overall Concept (presentation and overall concept, 150 points)
    • S2: Technical Approaches (technical solution approaches, 150 points)
  • Dynamic Events (Dynamic Disciplines)
    • D1: Free Drive and Parking (free drive with parking , 300 points for the best team)
    • D2: Obstacle Evasion Course (circuit with obstacles, 400 points for the best team)

2017

  • Static Event (Static Disciplines)
    • S1: Presentation and Overall Concept (presentation and overall concept, 150 points)
    • S2: Technical Approaches (technical solution approaches, 150 points)
  • Dynamic Events (Dynamic Disciplines)
    • D1: Parking (parking, 200 points)
    • D2: Free Driving w / o obstacles (circuit without obstacles, 250 points for the best team)
    • D3: Obstacle Evasion Parcours (circuit with obstacles, 300 points for the best team)

Regulations (from 2018)

The following is a brief summary of the rules for the Cup from 2018.

Requirements for the vehicle

Vehicles at the Carolo Cup 2019

The vehicle must be developed by the student teams themselves. However, cooperation with industry is permitted and common. The vehicle must be driven by an electric motor . Accumulators are prescribed for the energy supply . These can be exchanged between the individual disciplines. The vehicle is based on a four-wheel 1:10 chassis . The wheelbase measures at least 200 millimeters, the track width at least 160 millimeters. The vehicle must not be wider and not higher than 300 millimeters.

Will be driven with rubber or foam tires . At least one of the two axles must be steerable.

Sensors for recording the environment can be freely selected. For example, cameras, ultrasonic distance sensors , triangulation sensors, etc. are common. Active sensors must be safe. Laser sensors in particular may only be used up to class 2 .

If the vehicle makes serious mistakes, it must be brought to a standstill with a remote control and it must be possible to drive it. The use of the remote control must be clearly indicated by a blue flashing LED .

The car must be equipped with realistic lights, i.e. H. there are brake lights , low beam lights and direction indicators prescribed.

Static discipline

In a 20-minute lecture followed by a question and answer session, the team and then the vehicle are briefly presented to an expert jury.

Dynamic discipline: free travel with parking

In this discipline, the course is based on a country road, which, in addition to the two-lane route, consists of crossings and parking bays . The aim is to cover the greatest possible distance on the route during the specified driving time of two minutes. Parking attempts may be made during the driving time. Up to two successful attempts to park are rewarded with a multiplier of the total distance traveled. In the event of serious errors, the vehicle's remote control may be used, which will be punished accordingly.

Each team starts with a multiplier of 1.0. This can be increased by 1.0 by successful parking maneuvers (max. Two times). If the start attempt fails, 0.5 is deducted from the multiplier (max. Once).

Errors are penalized with a deduction from the total distance traveled by the vehicle. Errors such as E.g. leaving the right lane with more than one wheel (-5 meters), collision with an obstacle (-5 m) etc.

The route for the final evaluation then results from

.

Dynamic discipline: circuit with obstacles

In this discipline, the Free Drive route is expanded to include some elements. There are static (stationary) and dynamic (moving) obstacles on the route that must be avoided. In addition, elements based on real streets can be found.

At intersections you have to stop after signs or stop / stop lines and, if necessary, the right of way for cross traffic must be observed. In no-overtaking zones, obstacles may not be overtaken. Speed ​​limits are in the form of floor markings and signs. Out of town, road sections can be designated as motorways. Restricted areas and pedestrian crossings can be found in suburban areas. These should be treated as described in the StVO .

Each team starts with a multiplier of 1.0. This can, as when driving without obstacles, be increased z. B. by letting pedestrians pass, observing the right of way / speed limit, etc. There is a deduction if the start attempt fails (-0.5, max. Once).

Errors on the route will be penalized with a deduction from the total route traveled by the vehicle. There are errors such as violation of the safety distance to a dynamic obstacle (-5 meters), overtaking maneuvers in the intersection area (-5 meters) etc.

The route for the final evaluation then results from

.

Bottom line

For the final result, the individual scores from the respective disciplines are added together.

Timeline Carolo-Cup (2018-2019) / Master-Cup (from 2020)

year Participating teams Static discipline

(Dots in brackets)

Free ride and parking

(Dots in brackets)

Obstacle Course

(Dots in brackets)

Final result (points in brackets) source
2018

(02/14/2018)

  1. Team Sparrow Brain (256)
  2. ISF Lions (242)
  3. Team CDLC (235)
  4. NaN (234)
  5. KITcar (234)
  6. Team GalaXIs (189)
  1. Team CDLC (300)
  2. KITcar (298)
  3. Team Sparrow Brain (164)
  4. Team GalaXIs (0)
  5. ISF Lions (0)
  6. NaN (0)
  1. KITcar (400)
  2. Team CDLC (307)
  3. ISF Lions (156)
  4. Team GalaXIs (0)
  5. Team Sparrowbrain (0)
  6. NaN (0)
  1. KITcar (931)
  2. Team CDLC (842)
  3. Team Sparrow Brain (420)
  4. ISF Lions (398)
  5. NaN (234)
  6. Team GalaXIs (189)
2019

(05.02.2019)

  1. Team Sparrow Brain (248)
  2. KITcar (236)
  3. Team CDLC (233)
  4. Ostfalia Cup (229)
  5. ISF Lions (220)
  6. e.Wolf (204)
  7. Phoenix Robotics (165)
  1. Team Sparrow Brain (300)
  2. KITcar (271)
  3. e.Wolf (62)
  4. Ostfalia Cup (35)
  5. ISF Lions (0)
  6. Team CDLC (0)
  7. Phoenix Robotics (0)
  1. KITcar (400)
  2. Team Sparrow Brain (367)
  3. Team CDLC (331)
  4. e.Wolf (104)
  5. ISF Lions (7)
  6. Ostfalia Cup (0)
  7. Phoenix Robotics (0)
  1. Team Sparrow Brain (915)
  2. KITcar (906)
  3. Team CDLC (564)
  4. e.Wolf (370)
  5. Ostfalia Cup (264)
  6. ISF Lions (227)
  7. Phoenix Robotics (0)
2020

(02/11/2010)

  1. Team Sparrow Brain (242)
  2. KITcar (235)
  3. Team CDLC (224)
  4. ISF Lions (200)
  5. OSCAR (189)
  6. e.Wolf (166)
  7. Ostfalia Cup (151)
  1. Team CDLC (300)
  2. e.Wolf (233)
  3. KITcar (187)
  4. ISF Lions (117)
  5. OSCAR (42)
  6. Team Sparrowbrain (0)
  7. Ostfalia Cup (0)
  1. KITcar (400)
  2. e.Wolf (37)
  3. Team Sparrowbrain (0)
  4. Team CDLC (0)
  5. OSCAR (0)
  6. Ostfalia Cup (0)
  7. ISF Lions (0)
  1. KITcar (822)
  2. Team CDLC (524)
  3. e.Wolf (436)
  4. ISF Lions (317)
  5. OSCAR (231)
  6. Team Sparrowbrain (0)
  7. Ostfalia Cup (0)

Timeline Basic-Cup (from 2018)

year Participating teams Static discipline

(Dots in brackets)

Free ride and parking

(Dots in brackets)

Obstacle Course

(Dots in brackets)

Final result Basic Cup

(Dots in brackets)

source
2018

(02/14/2018)

  1. e.Wolf (217)
  2. Phoenix Robotics (214)
  3. it: movES (205)
  4. oTToCar (195)
  5. OSCAR (192)
  6. Selfie (188)
  7. The Confederates (186)
  8. CAFKa (177)
  9. SmartTube (155)
  10. RoBoss (153)
  11. TU-Smart (141)
  12. TeamWorstCase (140)
  13. AAutonomous (121)
  14. GAP (0)
  15. HannoMobil (0)
  1. Phoenix Robotics (300)
  2. e.Wolf (139)
  3. OSCAR (84)
  4. TU-Smart (64)
  5. AAutonomous (3)
  6. SmartTube (0)
  7. TeamWorstCase (0)
  8. oTToCar (0)
  9. it: movES (0)
  10. HannoMobil (0)
  11. RoBoss (0)
  12. Selfie (0)
  13. The Confederates (0)
  14. CAFKa (0)
  15. GAP (0)
  1. Phoenix Robotics (300)
  2. SmartTube (0)
  3. OSCAR (0)
  4. HannoMobil (0)
  5. e.Wolf (0)
  6. oTToCar (0)
  7. it: movES (0)
  8. CAFKa (0)
  9. Selfie (0)
  10. TU-Smart (0)
  11. TeamWorstCase (0)
  12. RoBoss (0)
  13. GAP (0)
  14. The Confederates (0)
  15. AAutonomous (0)
  1. Phoenix Robotics (814)
  2. e.Wolf (356)
  3. OSCAR (276)
  4. TU-Smart (205)
  5. it: movES (205)
  6. oTToCar (195)
  7. Selfie (188)
  8. The Confederates (186)
  9. CAFKa (177)
  10. SmartTube (155)
  11. RoBoss (153)
  12. TeamWorstCase (140)
  13. AAutonomous (124)
  14. HannoMobil (0)
  15. GAP (0)
2019

(05.02.2019)

  1. OSCAR (208)
  2. it: movES (195)
  3. TU-Smart (178)
  4. CAFKa (162)
  5. oTToCar (161)
  6. Deep Mint (156)
  7. Team GalaXIs (154)
  8. SmartTube (134)
  9. Selfie (131)
  10. SUFF (100)
  1. OSCAR (300)
  2. it: movES (165)
  3. Selfie (43)
  4. TU-Smart (33)
  5. oTToCar (29)
  6. CAFKa (14)
  7. Team GalaXIs (0)
  8. SmartTube (0)
  9. Deep Mint (0)
  10. SUFF (0)
  1. OSCAR (300)
  2. it: movES (273)
  3. oTToCar (0)
  4. Team GalaXIs (0)
  5. TU-Smart (0)
  6. SmartTube (0)
  7. SUFF (0)
  8. CAFKa (0)
  9. Selfie (0)
  10. Deep Mint (0)
  1. OSCAR (808)
  2. it: movES (634)
  3. TU-Smart (210)
  4. oTToCar (190)
  5. CAFKa (176)
  6. Selfie (173)
  7. Deep Mint (156)
  8. SmartTube (134)
  9. Team GalaXIs (0)
  10. SUFF (0)
2020

(02/11/2020)

  1. TeamWorstCase (221)
  2. Selfie (182)
  3. Deep Mint (171)
  4. oTToCar (159)
  5. THE LEMMA (142)
  6. CAFKa (139)
  7. cITIcar (138)
  8. HS Kempten (129)
  9. it: movES (127)
  10. DHBW SmartRollers (81)
  11. Team GalaXIs (62)
  12. BABA (0)
  1. TeamWorstCase (300)
  2. Selfie (159)
  3. THE LEMMA (82)
  4. cITIcar (52)
  5. Deep Mint (35)
  6. HS Kempten (31)
  7. oTToCar (23)
  8. CAFKa (2)
  9. DHBW SmartRollers (1)
  10. it: movES (0)
  11. BABA (0)
  12. Team GalaXIs (0)
  1. TeamWorstCase (300)
  2. Selfie (231)
  3. it: movES (186)
  4. cITIcar (19)
  5. Deep Mint (9)
  6. THE LEMMA (9)
  7. DHBW SmartRollers (0)
  8. oTToCar (0)
  9. BABA (0)
  10. CAFKa (0)
  11. HS Kempten (0)
  12. Team GalaXIs (0)
  1. TeamWorstCase (821)
  2. Selfie (571)
  3. it: movES (313)
  4. THE LEMMA (233)
  5. Deep Mint (214)
  6. cITIcar (209)
  7. oTToCar (182)
  8. HS Kempten (160)
  9. CAFKa (140)
  10. DHBW SmartRollers (82)
  11. Team GalaXIs (62)
  12. BABA (0)

VDI special price for the lowest total weight (2020)

Selection of measured vehicle masses:

  1. OSCAR (1.8 kg)
  2. Ostfalia Cup (1.8 kg)
  3. THE LEMMA (1.9 kg)
  4. ISF Lions (1.95 kg)
  5. Deep Mint (3.3 kg)
  6. Selfie (3.7 kg)
  7. Team sparrow brain (4 kg)

The prize money of 500 euros is shared between the OSCAR and Ostfalia Cup.

See also

Web links

Individual evidence

  1. Unger, Herwig: Real Time and Security: Real Time 2018 . Berlin, Heidelberg, ISBN 978-3-662-58096-7 , pp. 39 .
  2. Nolte, M., Graubohm, R., Form, T. et al .: Carolo-Cup - Ten years of automated driving on a scale of 1:10 . In: special projects ATZ / MTZ . 16th edition. tape 22 , no. 2 . Springer Fachmedien, Wiesbaden 2017, p. 16-21 .
  3. News | Carolo Cup. Retrieved February 7, 2019 .
  4. Carolo Cup 2018: Prepared for the autonomous future. Retrieved February 8, 2019 .
  5. a b Carolo Cup workshop. Retrieved February 5, 2019 .
  6. Carolo Cup | Carolo Cup. Retrieved February 4, 2019 .
  7. Carolo Cup: Autonomous model vehicles compete - VDE. Retrieved February 8, 2019 .
  8. Deep Drive PL: Carolo Cup 2018. Accessed February 9, 2019 (Polish).
  9. Student competition: Carolinchen is the best autonomous model car - Golem.de. Accessed February 8, 2019 (German).
  10. Technical University of Braunschweig: Carolo-Cup Regulations 2018. (PDF) Retrieved on February 4, 2019 (English).
  11. News | Research. Retrieved February 5, 2019 .
  12. a b Results | Carolo Cup. Retrieved February 4, 2019 .
  13. a b Carolo Cup 2019 - final. Retrieved February 4, 2019 .
  14. a b CaroloCup TuBs: Carolo-Cup 2019 - main competition. Retrieved February 7, 2019 .
  15. a b Carolo-Cup: Carolo-Cup 2019 results. (PDF) Accessed February 7, 2019 (English).
  16. a b TU Braunschweig: Carolo-Cup 2020. Accessed on February 10, 2020 .
  17. a b TU Braunschweig: Who will win the Carolo Cup? February 4, 2020, accessed February 11, 2020 .
  18. a b TU Braunschweig: Carolo-Cup results 2020. February 12, 2020, accessed on February 14, 2020 .
  19. ^ Carolo Cup 2018 in Braunschweig. Retrieved February 8, 2019 .
  20. Benyamin Bahri: The Future Is Now. Accessed February 8, 2019 (German).
  21. ^ NDR: Ulm University wins Carolo Cup. Retrieved February 8, 2019 .
  22. ^ Carolo-Cup: Model car race in Braunschweig. Retrieved February 8, 2019 .